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Location: Nairobi Workplace: Remote ABOUT THE COMPANY Jackfruit Finance lends to the people who educate a continent. We provide working capital, project, and asset finance to low-fee private schools, the schools that teach the children with the fewest alternatives and that formal credit markets will not touch. Since inception, we have financed 1,022 schools and 72 SMEs across Kenya, Uganda, and Tanzania, reaching 305,265 children and 13,004 teachers, and 70.3% of the school directors we back are women. We financed our 1,000th school this year. We are scaling on three fronts at once: - Geographically: we now operate across Kenya, Uganda, and Tanzania. - Into new products: a gender-lens SME book and health-facility lending, because a school is the most reliable node in its community’s economy and the natural conduit into it. - And in how we work: we are live on Musoni as our core banking platform, we run a growing set of AI agents and automations across origination, credit, and operations, and people across the company are increasingly building their own tools with AI. With $12m of lending, a 98% collections rate, and a field force operating in places most lenders will not go, we have the data to make that real. Come help us continue to grow! ABOUT THE ROLE Jackfruit’s competitive advantage is that we can underwrite a school no one else will lend to. That advantage lives in our data and in the systems that collect it: what our school support leads see in the field, what schools tell us about enrollment and fee collection, and how those signals translate into a credit decision and a repayment schedule that a school can actually meet. Data is not a back-office function at Jackfruit; it is the machinery of the lending business itself. We are building on this towards a truly Regenerative Lending approach (see here). The foundations are now in place. Our core banking migration is done, and Musoni is the system of record. Much of the lending workflow already has automation in it: an AI credit agent, credit scoring, KYC checks, contract and document generation, repayment schedule generation, and customer SMS. And AI has changed who can build: staff in credit, finance, operations, and the field can now create useful tools themselves, and we want more of that, not less. What we do not yet have is one person who makes it all work as a single system. Some of what exists is good but needs to be more reliable. Some tools were built and are not implemented. Some do not connect to each other or to the same data. This role exists to fix that. You will be the central owner of Jackfruit’s data, systems, and AI: the person who ensures the data is accurate and flowing, the systems are safeguarded and controlled, AI is used as efficiently as possible, and everything that gets built connects to everything else and actually gets used. This is a hands-on, delivery-focused role, not a strategy seat. You will build yourself, you will enable others to build well, and you will decide what does and does not belong in the stack. You will manage our small technology team and work directly with the CEO. The test of this role is simple: the CEO should be able to stop thinking about technology, trust that the numbers are real, and see a lending operation that gets faster and more accurate every quarter without a proportional increase in headcount. WHAT YOU WILL DO 1. Own AI across the company. - Set how Jackfruit uses AI and run the platform it sits on. Decide which tools and models we use, manage cost, and make sure every agent and automation has an owner, clear permissions, human gates where needed, run logging, and a measurable purpose. Build and ship agents yourself. 2. Enable more people to build safely. - We want staff across the company building tools with AI. Give them the standards, templates, data access, training, and review path to do it well, and be the central point of control: nothing goes into production without connecting to the right data, meeting security standards, and having a user who will actually use it. Retire what is not used. 3. Lead the automation of our lending process with AI end to end. - Own the automation of the process flows that make a lending company work, including but not limited to lead qualification, KYC, credit assessment and credit scoring, investment committee memos, contract and security documentation generation, repayment schedule generation, disbursement, payment posting, customer communications, collections, portfolio monitoring, and credit bureau and regulatory reporting. Much of this is already in place but not yet perfect. Your job is to refine each piece, measure it against real outcomes, and bring the pieces together into one connected flow. This involves building AI agents and ML tools. 4. Own customer-facing AI agents. - Own, build, and improve AI-powered systems that are customer-facing, including agents that enable customers to apply for loans and receive customer support, marketing, and other interactions through AI agents. 5. Own the data and the single source of truth. - Ensure data is accurate at the point of entry and flows cleanly between systems. Maintain one authoritative source for every key metric, make sure portfolio numbers reconcile everywhere, keep the data documentation (diagrams, dictionaries) current, and run the dashboards leadership relies on. AI is only as good as the data underneath it, and that data is yours. 6. Own the core banking platform and core systems. - Musoni is live as our system of record. Own it on an ongoing basis: correct usage, accurate data, product configuration and change control, vendor management, and clean integration with the CRM and the SSL app. Retire the remaining legacy tools it replaces. Build new tools on top of it for new automations. 7. Own the SSL app. - The School Support Lead (SSL) app is how Jackfruit and the school support leads in the field talk to each other, and it works well today. Own its roadmap, spend time with the field team to understand what they need, and keep it connected to Musoni and the wider data flow so field activity and loan data stay together. 8. Drive delivery and ruthless prioritization. - Maintain a tight roadmap, run quarterly planning, sprints, and standups, and drive work to completion rather than leaving a trail of half-finished projects. Give the CEO and the leadership team clear, ongoing visibility into status, priorities, and tradeoffs, and gatekeep what does and does not get built. 9. Safeguard the systems. - As a regulated lender, Jackfruit has to get security, compliance, and audit right. Own access control, backups, secrets, audit logs, data protection, and IT audits with regulators and other stakeholders, and extend the same discipline to every AI agent and staff-built tool. 10. Manage the technology team. - Directly manage a small team covering engineering, data, and IT support. Prioritize their work, unblock them, and own their reviews and growth. The team will stay small. This includes oversight of the IT help desk, ensuring issues are triaged and resolved through a well-run process. WHO YOU ARE - You take it personally that things get done and that they get used. - You prioritize ruthlessly; you can get everyone from the CEO to the developers focused on the single most important thing, and you roll up your sleeves to ship rather than waiting for someone else to. - You are a builder who likes making other people builders: you would rather give a credit officer the tools and guardrails to solve their own problem than add it to a queue. - You communicate exceptionally well in both directions: you give leadership true, clear visibility into what is happening, and you understand what non-technical users actually need. - You pull your own numbers in SQL, you build with AI coding tools every day, and you can read and review what others ship. Nobody can sell you a story about why something is hard. WHAT YOU HAVE - AI fluency with production results. You have built and shipped AI agents and automations that real teams use every day, and you can show the before and after. You know how to evaluate an agent against real outcomes, control its cost, and put the right guardrails and human checks around it. This is a builder’s track record, not a point of view about AI. - Ownership of system-of-record. Previous experience owning a system-of-record and ensuring it is accurate and well-functioning. - Experience governing a stack that many people build on. You have set standards, access controls, and review processes that let non-engineers build safely, and you have kept a growing set of tools connected, documented, and used rather than sprawling. - A deep understanding of loan products and lending operations. Five or more years in lending, microfinance, or other relevant financial services. You know how origination, credit assessment, documentation, disbursement, repayments, collections, and portfolio metrics (PAR, outstanding) actually work, and how the parts of a lending business connect. You have automated or materially improved these flows before. - Hands-on data fluency. You independently write SQL to pull and reconcile numbers. You can design a clean, simple data model, own the integrity of data flowing between a core banking system and the tools around it, and establish a single source of truth by personally getting into the data. Experience with a core banking platform (Musoni or similar) is a strong plus. - A security and controls mindset. You have owned access, audit, and data protection in a regulated or audited environment, and you build controls in from the start rather than after an incident. - Emerging markets experience. You have operated in an emerging markets context and understand its realities. WHAT WE OFFER - Flexible and remote working: This is a remote role open to candidates anywhere in the world who can work East African hours. Nairobi-based staff work a hybrid model with office days on Mondays, Wednesdays, and Fridays. - Competitive compensation: We provide a fair and equitable pay system, benchmarked against market standards, role-specific qualifications, and performance. - Comprehensive health insurance: We offer 100% medical insurance coverage for employees, with 50% coverage available for eligible dependents (spouses under 65 and children up to 18, or up to 25 if in school). - Paid new parent leave: We support growing families with 3 calendar months of fully paid maternity leave and 14 days of fully paid paternity leave. - Annual leave: We provide a generous allowance of 21 days of paid annual leave per year. - Learning and development: We are committed to your professional growth and provide access to training opportunities, with potential sponsorship available based on individual and departmental development needs.

Location: United States Role Overview A lab result can arrive on time and still be hard to use. It has to reach the right patient record, carry enough context for a physician to act on it, and make sense to the person receiving it. The same challenge applies to data from electronic health records, insurers, wearables, and medical devices. We’re seeking a Lead Engineer, Health Data Integrations to build and operate the integrations behind a health data platform for personalized primary care. You’ll own the work from the first conversation with a lab, EHR vendor, or device partner through the point where a member or physician can use the data. You’ll work across APIs, data pipelines, mobile integrations, and front-end features on an API-first, event-driven Azure platform. The team uses Claude Code as its primary development interface. This is a hands-on senior individual contributor role reporting to the Director of Engineering, Integrations. The role works directly with protected health information and external vendors and is open to candidates based in the United States who are authorized to work in the U.S. What you’ll do Build and operate integrations with lab and diagnostics partners so results arrive complete, normalized, and ready for members and physicians to use. Connect EMR and EHR systems using FHIR and legacy interfaces where needed. Integrate payer data, including eligibility, claims, and patient-access APIs. Integrate on-device mobile health data and cloud-based wearable APIs. Handle consent, synchronization, and gaps in device data. Lead the work to bring data from in-clinic medical devices into the cloud platform. Map data from different sources into a common model that supports standard clinical terminology, patient matching, provenance, and auditability. Build the APIs, services, and front-end features that help members understand their health data and physicians act on it. Work directly with labs, EHR vendors, payers, and device partners to scope, test, and launch integrations. Partner with product, clinical, and data engineering teams to decide which data matters and how to present it. Design for HIPAA requirements from the start. Build in encryption, access controls, audit logging, and minimum-necessary data handling. Align vendor integrations with Business Associate Agreements. Set the standards for testing, observability, and CI/CD so the team can catch integration failures before they affect members or physicians. Use Claude Code and agentic development in your daily workflow, from prototyping and code generation through automated testing and deployment. Define how the team reviews and verifies AI-generated changes. Work with technical and business product owners to test assumptions, clarify what each integration needs to deliver, and sequence work by impact. You’re comfortable debugging a FHIR resource, working through a mobile health sync issue, and reviewing a React screen or Azure deployment in the same week. You’ve seen healthcare integrations break in production and can explain what went wrong, how you diagnosed it, and what you changed. You can move a project forward on a small team when requirements are still taking shape. You raise blockers early and communicate clearly with engineers, clinicians, and vendor partners. Bachelor’s degree in computer science or a related field and 8+ years shipping software, including 3+ years building healthcare data integrations at a health-tech, digital health, or healthcare startup. Hands-on production experience with FHIR R4 and SMART on FHIR, plus working knowledge of HL7 v2, C-CDA, and clinical terminologies such as LOINC and SNOMED CT. Integration experience in at least two of these areas — hospital and EHR systems such as Epic, Oracle Health/Cerner, or athenahealth; payer data such as eligibility, claims, or X12 EDI; and lab systems such as Quest or Labcorp. Experience integrating Apple HealthKit or Android Health Connect, including the native or cross-platform mobile work involved, and working with wearable APIs such as WHOOP, Fitbit, Oura, or Garmin. Experience leading a substantial platform build or integration program end to end. Full-stack development experience with a modern back end such as Node.js, .NET, or Python and a front end such as React or Next.js. You’ve built APIs, event-driven systems, and data pipelines in production. Cloud-native experience on Azure, or equivalent experience on another cloud platform and a willingness to work in Azure, including CI/CD and infrastructure as code. Practical experience applying HIPAA requirements and protecting PHI in production systems. Daily use of AI coding tools such as Claude Code or Copilot, with a clear approach to reviewing and testing their output. The ideal candidate can sit down with a clinician or vendor, work out what data is available and how it will be used, and carry that integration into production. They can trace a result back to its source, explain a gap in plain language, and fix the underlying problem. What you’ll bring Bachelor’s degree in computer science or a related field, plus 8+ years shipping software, including 3+ years building healthcare data integrations at a health-tech, digital health, or healthcare startup. Hands-on production experience with FHIR R4 and SMART on FHIR, and working knowledge of HL7 v2, C-CDA, LOINC, and SNOMED CT. Integration experience across at least two of these areas — hospital and EHR systems, payer and insurance data, and lab systems. Experience integrating Apple HealthKit or Android Health Connect, including the mobile development involved, and working with wearable data APIs such as WHOOP, Fitbit, Oura, or Garmin. Experience leading a significant platform build or integration program from design through launch. Full-stack experience with a modern back end such as Node.js, .NET, or Python, and a front end such as React or Next.js. You’ve built APIs, event-driven systems, and data pipelines in production. Cloud-native engineering experience on Azure or equivalent experience on another cloud platform and a willingness to work in Azure. This includes CI/CD and infrastructure as code. Practical experience protecting PHI in production systems and applying HIPAA requirements. Daily use of AI coding tools such as Claude Code or GitHub Copilot, with a habit of testing and reviewing their output. Ability to work independently on a small team, raise blockers early, and communicate clearly with engineers, clinicians, and vendor partners. Based in the United States and authorized to work in the U.S. You should be able to carry an integration through the full arc: Clinical Need → Partner Discovery → Integration Design → Data Validation → Production → Member and Physician Use The work is complete when the right data reaches the right person in a form they can use. Your partner for AI, consulting, software development, and nearshore staffing.

Location: London 2027 – Internship, Business Data Analytics Programmes offered: Final-year internship, penultimate-year internship Location: London Programme duration: 3-6 months internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Join QRT’s growing Business Data & Analytics (BDA) team to turn internal and external data into practical business solutions. Work with developers and business stakeholders to research questions, explore complex datasets, and build tools that inform senior stakeholders. We are recruiting across three internship tracks, depending on your strengths and interests: Applied AI Engineering — Build and evaluate tools using LLMs, agents and retrieval to support research, automate workflows and enhance applications. Applied Data Science — Structure and connect data, apply statistical, machine learning and graph-based methods, and build data applications for the business. Investment Analytics — Work with the investment team to turn complex data into clear insights and develop tools supporting investment decisions. Your responsibilities will include: Translate business questions into analytical approaches, research and evaluate methods, and develop prototypes for integration with developers. Combine, structure and validate datasets across firms, teams and people; collect and analyse financial, market and portfolio data. Build dashboards monitoring investment performance, portfolio exposures, risk metrics, and market trends. Support investment research through quantitative analysis; communicate findings through clear visualisations and explanations for non-technical stakeholders. Assess accuracy and reliability, documenting assumptions and limitations. Prototype and test AI agents for document information extraction, research summaries, and recurring reports. Your present skillset Studying towards, or recently completed, a degree in Computer Science, Statistics, Data Science, Mathematics or another STEM discipline with relevant practical experience. Strong Python skills, clean, well-structured code, and experience cleaning, joining and modelling data from multiple sources. Intellectual curiosity about business, data and technology; strong analytical and problem-solving skills and a consulting mindset. Evidence of taking an open-ended problem from idea to working solution through projects, coursework, research or internships. Clear communication, initiative, and organisation, with confidence working through undefined requirements. Track-specific skills Demonstrate experience in your preferred track. Personal and passion projects are welcome: we are interested in what you built, your decisions, and what you learned. Applied AI Engineering — Hands-on experience with LLMs, including agents, tool use or retrieval; ability to assess AI outputs for accuracy, reliability and usefulness; interest in software deployment, operation and integration. Applied Data Science — Experience applying analytical or statistical methods, visualising data and presenting findings to non-technical users. Prior machine learning experience is not required; curiosity and solid data experience are valued. Investment Analytics — Attention to detail, interest in financial markets and investing, working knowledge of Python and Excel for data analysis, and interest in LLMs, AI agents and automation. Clear communication, initiative and collaboration. Good to have Graph data experience with Neo4j, NetworkX or similar. SQL. Cloud platforms, particularly AWS. Machine learning, including community detection, link prediction and embeddings for the Data Science track. Data applications or APIs using Dash or FastAPI. Interview Process: Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Data API Engineer to join our Data API Team and help improve the feature set, reliability and performance of our Data API, based on the PostgREST project. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Work on PostgREST’s PostgreSQL driver (based on Hasql) and remove bottlenecks and improve it’s performance. - Work on PostgREST development of new features and bug fixes, aligned towards the goal of a multitenant Data API. - Resolve incidents and escalated support issues, while also improving observability and performance. - Collaborate cross-functionally with other teams to debug and solve integration issues with the Supabase platform. YOU MIGHT BE A GOOD FIT IF YOU - Strong Haskell skills with at least 3 years of experience. - Experience using the C language. - Solid knowledge of SQL and plpgsql scripting in PostgreSQL. - Strong track record of contributing to and engaging with open-source projects. Bonus points if you’ve maintained an open source project. - Strong experience with providing technical support to users with varying levels of technical expertise. - Experience with debugging applications under the Linux operating system. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work at the intersection of financial markets, data science and engineering, supporting the discovery, evaluation and integration of financial datasets used across quantitative research and trading. The role combines technical expertise with an understanding of Macro markets, working closely with Quantitative Researchers, Portfolio Managers and Traders to translate business requirements into practical data solutions. You will engage directly with external data providers, assess existing data assets and identify opportunities to expand the firm's data capabilities. Your future role within QRT Collaborate with Quantitative Researchers, Portfolio Managers and Traders to understand their data requirements and identify suitable datasets for research and trading strategies Evaluate existing data assets and external vendor offerings, assessing coverage, quality, consistency and suitability for specific financial applications Manage the discovery, evaluation and onboarding of new datasets, with a focus on Macro markets, including Rates, bonds, swaps, derivatives and alternative data Engage directly with external data providers to understand their offerings, assess APIs and investigate data availability, structure and delivery mechanisms Develop Python tools and data pipelines to extract, clean, normalise and analyse financial datasets from multiple sources Investigate discrepancies across data providers, including differences in instrument identifiers, pricing conventions, timestamps and reference data Maintain and improve the quality and consistency of existing datasets, proactively resolving issues and identifying opportunities to enhance data coverage Collaborate with engineering teams to automate data ingestion, validation and integration processes, ensuring reliable delivery into research and trading environments Your present skillset Minimum 2 years of relevant professional experience in Data Science, Data Analysis, Data Engineering or a similar role within financial markets Practical understanding of financial markets and instruments, with exposure to Macro, Fixed Income, Rates, Credit or related asset classes Strong Python programming skills, including experience with data analysis libraries such as Pandas and NumPy Good SQL skills and experience working with structured financial datasets Experience sourcing, analysing and processing financial data, with an understanding of data quality, validation and consistency across multiple sources Ability to understand financial concepts and communicate effectively with Quantitative Researchers, Portfolio Managers, Traders and external data vendors Strong analytical and problem solving skills, with the ability to investigate unfamiliar datasets and identify appropriate solutions independently Familiarity with external data providers, financial data platforms and API integration Ability to manage competing priorities, take ownership of data initiatives and collaborate effectively across technical and business functions Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or Finance; a postgraduate qualification is beneficial Experience developing data pipelines, automating data workflows or supporting production data infrastructure is beneficial Knowledge of financial data concepts such as yield curves, instrument reference data, market data and pricing conventions is advantageous QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work at the intersection of financial markets, data science and engineering, supporting the discovery, evaluation and integration of financial datasets used across quantitative research and trading. The role combines technical expertise with an understanding of Macro markets, working closely with Quantitative Researchers, Portfolio Managers and Traders to translate business requirements into practical data solutions. You will engage directly with external data providers, assess existing data assets and identify opportunities to expand the firm's data capabilities. Your future role within QRT Collaborate with Quantitative Researchers, Portfolio Managers and Traders to understand their data requirements and identify suitable datasets for research and trading strategies Evaluate existing data assets and external vendor offerings, assessing coverage, quality, consistency and suitability for specific financial applications Manage the discovery, evaluation and onboarding of new datasets, with a focus on Macro markets, including Rates, bonds, swaps, derivatives and alternative data Engage directly with external data providers to understand their offerings, assess APIs and investigate data availability, structure and delivery mechanisms Develop Python tools and data pipelines to extract, clean, normalise and analyse financial datasets from multiple sources Investigate discrepancies across data providers, including differences in instrument identifiers, pricing conventions, timestamps and reference data Maintain and improve the quality and consistency of existing datasets, proactively resolving issues and identifying opportunities to enhance data coverage Collaborate with engineering teams to automate data ingestion, validation and integration processes, ensuring reliable delivery into research and trading environments Your present skillset Minimum 2 years of relevant professional experience in Data Science, Data Analysis, Data Engineering or a similar role within financial markets Practical understanding of financial markets and instruments, with exposure to Macro, Fixed Income, Rates, Credit or related asset classes Strong Python programming skills, including experience with data analysis libraries such as Pandas and NumPy Good SQL skills and experience working with structured financial datasets Experience sourcing, analysing and processing financial data, with an understanding of data quality, validation and consistency across multiple sources Ability to understand financial concepts and communicate effectively with Quantitative Researchers, Portfolio Managers, Traders and external data vendors Strong analytical and problem solving skills, with the ability to investigate unfamiliar datasets and identify appropriate solutions independently Familiarity with external data providers, financial data platforms and API integration Ability to manage competing priorities, take ownership of data initiatives and collaborate effectively across technical and business functions Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or Finance; a postgraduate qualification is beneficial Experience developing data pipelines, automating data workflows or supporting production data infrastructure is beneficial Knowledge of financial data concepts such as yield curves, instrument reference data, market data and pricing conventions is advantageous QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Portugal; Poland; Ukraine; Croatia; Serbia; Spain RemoFirst is transforming the way businesses hire and manage global teams. Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management. We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups. We are a small but strong team of 200+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships. We are seeking a CXG Data Specialist to support and optimize our data quality across the full CXG tech stack. Reporting at the intersection of Customer Success, Revenue Operations and Sales, you will play a key role in maintaining the data accuracy of our CXG systems. This is a hands-on individual contributor role focused on execution, continuous improvement, and providing exceptional operational support to our CXG team in a fast-paced, remote-first environment. Key Responsibilities Own proactive data quality monitoring and clean-up across CXG systems. Validate and reconcile customer and account data across different sources. Perform data manipulation and analysis, including VLOOKUPs, reconciliation, duplicate account identification, research, and clean-up. Maintain accurate customer journey stages, account statuses, CSM ownership, and other critical CXG data points. Run recurring data-quality checks and proactively identify inconsistencies across systems Help update reporting and dashboards Monitor cancelled employee hiring processes and notify Finance when associated deposit invoices need to be cancelled. Partner with RevOps and CXG teams to identify recurring data-quality issues and improve the underlying processes. Requirements 1–5 years of experience in Data Management, Revenue Operations, Sales Operations, CRM Administration, Customer Success, or a related operational role. Experience administering CRM or CXG platforms. Experience working with sales technology tools and revenue systems. Excellent organizational skills with exceptional attention to detail. Ability to manage multiple priorities in a fast-paced environment. Strong communication skills and the ability to collaborate across distributed teams. Preferred Qualifications Experience within a SaaS business. Experience supporting EOR, PEO, HR Tech, or contractor management platforms. Experience with HubSpot, DevRev and BI tools. Experience with data management, data clean-up and deduplication.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. The successful candidate will join QRT’s established Data Centre Operations team. Working closely with Network Engineering and wider infrastructure teams, you will help deploy, maintain and support the physical technology infrastructure used across QRT’s global data centre locations. Your Future Role within QRT Support the physical installation, maintenance and decommissioning of servers, network switches and other data centre equipment. Rack, stack, cable and label equipment to a consistently high standard. Support the deployment and maintenance of low-latency infrastructure used to support QRT’s high-frequency trading environments Install and manage copper, fibre and power cabling, including patching between devices and patch panels. Carry out hardware break-fix activities, including replacing failed components, cables, optics, power supplies and other parts. Assist with new equipment deployments, upgrades, capacity expansions and site decommissions. Complete basic hardware checks and troubleshooting on servers, switches, power equipment and connectivity. Work from build documents, rack elevations, patching schedules and technical instructions. Support hardware deliveries, stock management, spare parts, equipment movements and site logistics. Work with colocation providers, vendors, remote hands and onsite engineers to complete planned and reactive work. Help maintain high standards of data centre cleanliness, cabling, labelling, security and general operational discipline. Support planned work and break-fix activities across QRT’s global data centre environment. Take part in out-of-hours and weekend work where required, including planned changes, deployments and urgent break-fix activities. Participate in an out-of-hours on-call rota once suitable training and experience have been completed. Your Present Skillset: Some experience working in a data centre, IT infrastructure, network operations, hardware support or similar technical environment. Experience supporting low-latency, high-frequency trading or other business-critical infrastructure would be advantageous. Hands-on experience installing or supporting servers, network devices, cabling or other IT hardware. Basic understanding of servers, network switches, fibre, copper cabling and power connections. A practical and methodical approach to physical work, troubleshooting and problem solving. Strong attention to detail, particularly around cabling, labelling, documentation and build quality. Comfortable following technical instructions, procedures and change plans. Able to work safely and carefully within live data centre environments. Good communication skills and willingness to work with internal teams, vendors and third-party engineers. Organised and comfortable managing tasks, equipment, stock and documentation. Willingness to learn new technologies and develop broader knowledge of data centre infrastructure. Comfortable working as part of a globally distributed team. Willingness to travel internationally when required. Flexibility to carry out evening, overnight and weekend work when needed. Willingness to participate in an out-of-hours on-call rota after completing the required training. Base salary range for this position is $150,000 to $180,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: United Kingdom Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. What's the role In this role you’ll develop innovative, challenger data strategies across a portfolio of clients. As part of the growing data strategy community at Brainlabs you will have an positive impact on our data strategy capabilities and value-add for our clients. You’ll build mid-term data-centric strategic plans that deliver real business performance growth for clients using data, analysis and insight that aligns with and delivers the overall growth strategy for the client. You’ll know how to drive marketing transformation through data insights, diagnose brand challenges effectively and build frameworks to measure client brand growth and media effectiveness. What you do You’ll diagnose data challenges and set the overarching strategic vision for key clients. Drive adoption and champion usage of technology (AdTech, MarTech and Brainlabs proprietary Tech) for your clients. Create first party data (1PD) strategies and unlock access to this data for media execution Provide data leadership in pitches, being responsible for the data and technology thread across all planning and media activation ensuring real client growth. Contribute to the growth and strategy, helping to shape the future direction of the Data Strategy team and wider strategy and planning team. Who you are Considerable experience of delivering data strategies to leading clients either within a market or across a region Proven data capabilities and ability to utilise data insight to drive media and marketing effectiveness A great storyteller capable of translating data into real world insights You’re a ‘ knowledge builder’  and are excited at growing and coaching those around you A innovative thinker, able to create and deliver challenger strategies How you succeed You will live our culture code every day! Annual data revenue target met, demonstrating YoY growth for your Client Hives You’ll become an indispensable strategic adviser for your clients Award wins for your strategic data approach You’ll have proof-point where you have effectively articulated the Brainlabs data strategy proposition, products, tech and services Have positive feedback based on how your strategies have answered clients’ marketing challenge and grown the team Have a ‘book of value’ which showcases, through case studies, how your work has delivered material business growth/value for clients. Increasing profile in the media world in your market prompting Brainlabs. What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Georgia Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview Align is seeking an experienced Electrical Superintendent to oversee onsite electrical installation for data center construction and infrastructure projects. This individual will lead field teams, coordinate subcontractors, and ensure work is completed safely, on schedule, and in accordance with project specifications. The ideal candidate brings strong electrical construction experience, practical knowledge of power distribution systems, and a proven ability to manage field execution in data centers or other mission-critical environments. This role focuses on electrical power infrastructure, including busway, switchgear, panels, feeders, conduit, grounding, and equipment connections. Structured cabling or telecommunications experience alone does not meet the requirements. This is a full-time, salaried position, full benefits, paid time off, paid training, and performance-based bonuses. This position is based in the Atlanta Metroplex area and will work onsite for local data center projects. Approximately 50% travel outside of the Atlanta area should be expected at times. Responsibilities Lead daily electrical installation activities, coordinating crews, subcontractors, and vendors Plan manpower, materials, equipment, and work sequencing to support project schedules Oversee installation of power distribution equipment, busway, RPPs, PDUs, conduit, feeders, grounding, and electrical containment Review drawings, one-line diagrams, specifications, and submittals to guide field execution Coordinate with project managers, general contractors, clients, and other trades to resolve installation conflicts Monitor workmanship and progress, addressing deficiencies and schedule risks early Maintain daily reports, progress updates, and field documentation; support RFIs, change orders, and as-built updates Enforce site safety requirements and approved procedures for shutdowns, tie-ins, and work in operational facilities Coordinate inspections and support testing, commissioning, energization readiness, and project turnover Manage punch-list completion and ensure installations meet project quality standards Qualifications 3-5 years of electrical construction experience, including three years in a Superintendent, General Foreman, or comparable field leadership role Experience leading electrical work in data centers, mission-critical facilities, or complex industrial environments Strong knowledge of electrical power distribution, equipment installation, conduit, feeders, grounding, and bonding Ability to interpret electrical drawings, one-line diagrams, specifications, and equipment submittals Experience supervising crews, coordinating subcontractors, and managing field schedules and resources Strong communication, organization, problem-solving, and client relationship skills Familiarity with Procore, Bluebeam, Microsoft Office, or similar project tools Preferred Qualifications Journeyman or master electrician license OSHA 30 certification Experience with hyperscale or colocation data centers and white space electrical fit-outs Experience working in live facilities and supporting commissioning, shutdowns, and energization To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data focused function supporting Quantitative Researchers, Traders, and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets, and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise, and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Sydney Data Support Engineer – Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative environment that enables us to solve complex challenges. Our culture of innovation drives our ambition to deliver high-quality returns for our investors. Your future role at QRT We are looking for a technically capable Data Support Engineer to join our global Data Science and Analytics function in Sydney. The team is responsible for ensuring that the extensive datasets and production data processes relied upon by QRT’s quantitative researchers, traders and other business users remain accurate, reliable and available when needed. As part of the global support team, you will monitor data processes, investigate production issues and coordinate an effective response when data is missing, delayed or does not meet the expected quality standards. You will work closely with data engineers, researchers, traders and other stakeholders to understand the impact of an issue, identify the appropriate technical owners and keep affected users informed through to resolution. The Sydney position will play an important role in strengthening DSA’s support coverage across the APAC region and bridging the global handover between EMEA and Hong Kong. Your responsibilities will include: Providing first-line technical and data support to quantitative researchers, traders and other data users. Monitoring production data processes and responding to automated alerts relating to failures, delays and data-quality issues. Investigating incidents across data pipelines, including input, transformation and output failures. Validating data for completeness, accuracy, timeliness and expected characteristics. Assessing the potential business impact of data issues and prioritising incidents appropriately. Collaborating with data engineers and other technical teams to diagnose problems and coordinate their resolution. Communicating clearly with affected users and providing timely updates throughout an investigation. Building an understanding of data flows, dependencies, ownership and downstream consumers. Managing support requests and workflows through JIRA, ensuring issues are tracked through to resolution. Contributing to monitoring, alerting, documentation and continuous process improvement. Supporting the onboarding of new team members and helping users understand QRT’s data tools and processes. Contributing to the extension of data coverage, including live data collection and historical backfills. You will gain exposure to a broad range of financial and alternative datasets, including market and reference data, company information, economic data, text-based datasets and other data used to support QRT’s systematic investment activities. Your present skill set A Bachelor’s degree in Computer Science, Data Science, Engineering, Finance or another relevant discipline. Experience in data support, production support, application support or another technically focused support environment. Strong Python skills, including experience using Python to manipulate, investigate and validate data. Experience working with data systems, automated pipelines and APIs. Exposure to large datasets or high-volume production environments. Strong analytical and problem-solving skills, with the ability to investigate issues methodically. Excellent attention to detail and a strong appreciation for data quality and accuracy. Clear communication skills and the ability to work effectively with both technical and business stakeholders. Sound judgement when prioritising incidents, escalating issues and communicating potential impact. Curiosity and a genuine interest in understanding how data processes and systems work. The ability to remain effective in a fast-moving environment where processes, priorities and ownership may evolve. Experience in financial services, quantitative trading or market data would be beneficial but is not essential. Experience using JIRA or a similar workflow-management tool would be advantageous. QRT is an equal opportunity employer. We value diversity as an essential part of our success and empower our employees to work openly and respectfully towards collective goals. Alongside professional development and achievement, we offer initiatives and programmes that support employees in maintaining a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data focused function supporting Quantitative Researchers, Traders and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Plano, Texas, United States Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview Align is seeking an experienced Electrical Superintendent to oversee onsite electrical installation for data center construction and infrastructure projects. This individual will lead field teams, coordinate subcontractors, and ensure work is completed safely, on schedule, and in accordance with project specifications. The ideal candidate brings strong electrical construction experience, practical knowledge of power distribution systems, and a proven ability to manage field execution in data centers or other mission-critical environments. This role focuses on electrical power infrastructure, including busway, switchgear, panels, feeders, conduit, grounding, and equipment connections. Structured cabling or telecommunications experience alone does not meet the requirements. This is a full-time, salaried position, full benefits, paid time off, paid training, and performance-based bonuses. This position is based in the Dallas-Fort Worth Metroplex area and will work onsite for local data center projects. Approximately 50% travel outside of the Texas area should be expected at times. Responsibilities Lead daily electrical installation activities, coordinating crews, subcontractors, and vendors Plan manpower, materials, equipment, and work sequencing to support project schedules Oversee installation of power distribution equipment, busway, RPPs, PDUs, conduit, feeders, grounding, and electrical containment Review drawings, one-line diagrams, specifications, and submittals to guide field execution Coordinate with project managers, general contractors, clients, and other trades to resolve installation conflicts Monitor workmanship and progress, addressing deficiencies and schedule risks early Maintain daily reports, progress updates, and field documentation; support RFIs, change orders, and as-built updates Enforce site safety requirements and approved procedures for shutdowns, tie-ins, and work in operational facilities Coordinate inspections and support testing, commissioning, energization readiness, and project turnover Manage punch-list completion and ensure installations meet project quality standards Qualifications 3-5 years of electrical construction experience, including three years in a Superintendent, General Foreman, or comparable field leadership role Experience leading electrical work in data centers, mission-critical facilities, or complex industrial environments Strong knowledge of electrical power distribution, equipment installation, conduit, feeders, grounding, and bonding Ability to interpret electrical drawings, one-line diagrams, specifications, and equipment submittals Experience supervising crews, coordinating subcontractors, and managing field schedules and resources Strong communication, organization, problem-solving, and client relationship skills Familiarity with Procore, Bluebeam, Microsoft Office, or similar project tools Preferred Qualifications Journeyman or master electrician license OSHA 30 certification Experience with hyperscale or colocation data centers and white space electrical fit-outs Experience working in live facilities and supporting commissioning, shutdowns, and energization To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality. Provide first-line support to researchers and traders for data access ad usage Collaborate with data engineers to resolve data issues Onboard new hires and train them on using data tools and processes efficiently Manage JIRA workflows, track support requests, and ensure timely resolution of data issues Contribute to data documentation Contribute to extending data coverage (live collection and backfills) Your present skillset A Bachelor’s degree in Data Science, Computer Science, Finance, or a related field Experience in data support, IT helpdesk, or technical support, ideally within finance Strong command of Python and data libraries Proficiency with data systems, pipelines, and APIs Experience with JIRA or similar project management tools Strong problem-solving skills, communication abilities, and attention to detail QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris, London Programme duration: from 5 to 6 months, starting in 2027. Who qualifies: Penultimate or final year students completing a Bachelor's, Master's. Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership Your future role at QRT As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Quantitative Data Analyst – Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale. Data Engineer – Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively. Data Platform Engineer – Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data. Your present skillset Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming. Programming – Experience with Python and an interest in using software to solve data or infrastructure problems. Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter. Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading. Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions. Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers. Approach – Self-motivated and keen to develop autonomy as you learn. Preferred qualifications (a plus): Knowledge of SQL or NoSQL databases. Experience with front-end development. An interest in financial markets and/or algorithmic trading. Interviewing Application – Submit your application online. We review applications on a rolling basis. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong, Singapore Location: Hong Kong, Singapore Programme duration: from 3 to 6 months, starting in 2027. Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership. Your future role at QRT As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Quantitative Data Analyst – Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale. Data Engineer – Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively. Data Platform Engineer – Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data. Your present skillset Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming. Programming – Experience with Python and an interest in using software to solve data or infrastructure problems. Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter. Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading. Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions. Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers. Approach – Self-motivated and keen to develop autonomy as you learn. Preferred qualifications (a plus): Knowledge of SQL or NoSQL databases. Experience with front-end development. An interest in financial markets and/or algorithmic trading. Interviewing Application – Submit your application online. We review applications on a rolling basis. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Paris; London Workplace: Hybrid TL;DR: We're looking for a Data Labeling Lead to build our annotation team from zero – setting quality standards, designing evaluation frameworks, and running the labeling operations behind our safety evals, RLHF, and benchmarks. You'll own quality, throughput, and cost while working side by side with our AI researchers. ABOUT US White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life-changing, but at a point where demand has been proven. IN THIS ROLE, YOU WILL - Build from scratch and lead the Data Labeling team (hiring, coaching, and performance management) - Define annotation guidelines, quality standards, and evaluation frameworks - Develop quality assurance processes, calibration sessions, and auditing systems - Partner with AI researchers and engineers to translate research objectives into labeling workflows - Prioritise labeling projects based on business and research needs - Monitor operational metrics including quality, consistency, throughput, and cost - Improve annotation tooling, automation, and workflow efficiency - Lead complex AI evaluation projects, including safety, preference ranking, RLHF, policy evaluation, and benchmark creation - Analyse disagreement patterns and edge cases to improve guidelines and model performance - Manage vendor relationships and ensure consistent quality across distributed teams - Build reporting dashboards and communicate operational insights to leadership - Foster a culture of continuous improvement, accountability, and operational excellence WE'RE LOOKING FOR SOMEONE WHO - Has experience leading data annotation or AI evaluation teams - Has strong operational and people management skills - Understands AI model evaluation, LLM behaviour, and modern annotation workflows - Can design scalable processes without sacrificing quality - Communicates clearly across technical and non-technical teams - Thrives in fast-moving startup environments YOU MIGHT BE A GREAT FIT IF YOU - Have managed annotation programs for LLMs, generative AI, or machine learning - Have experience with RLHF, preference data collection, safety evaluations, or benchmark creation - Have worked in Trust & Safety, AI Safety, Content Moderation, or ML Ops - Have managed distributed or global annotation teams - Have experience with vendor management and outsourcing operations BONUS POINTS - Familiarity with prompt engineering and AI safety policies - SQL, Python, or data analysis experience - Experience building internal annotation platforms or workflow automation - Background in linguistics, cognitive science, machine learning, or data operations Important note This role involves overseeing projects that may include offensive, harmful, violent, sexual, or otherwise disturbing content. You'll be responsible for ensuring reviewers have the tools, guidance, and support necessary to perform this work safely and consistently. COMPENSATION & BENEFITS - Competitive compensation, including equity - Flexible time off - A spacious office in the heart of Paris’s 2nd arrondissement, with a flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Language lessons to help you improve your English or French - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call (25 min) 2. Take-home test assignment 3. Final conversation with CEO (45 min) Please submit your application in English.