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
Own the architecture and technical direction of crypto market connectivity, supporting QRT’s trading activities across digital asset exchanges and liquidity providers.
Lead the design, development, validation, deployment and production support of low-latency trading gateways and market data handlers for crypto venues.
Oversee market data ingestion, sequencing, normalisation, order book construction and downstream distribution across fragmented venues with differing protocols and data standards.
Own exchange integrations, connectivity upgrades and venue onboardings, including gap analysis, implementation and testing, working directly with exchanges and third-party providers.
Develop frameworks for data quality monitoring, gap detection, reconciliation, recovery and replay, addressing inconsistent schemas and varying levels of data quality across venues.
Drive improvements in latency, throughput, resilience and operational stability within a 24/7 trading environment, defining technical KPIs and operational metrics to measure progress.
Partner with traders, quantitative researchers and developers to deliver reliable market data and execution connectivity that support crypto trading strategies.
Scale connectivity systems to support new exchanges, digital assets, spot and derivatives products, and evolving market structures.
Work closely with infrastructure, operations, compliance and risk teams to ensure effective integration with upstream and downstream systems.
Mentor and develop engineers, establishing high standards for technical ownership, code quality and delivery.
Your present skillset
Significant experience building low-latency trading infrastructure, with strong experience in crypto exchange connectivity or digital asset trading systems.
Expert-level C++ development experience on Linux, alongside strong Python and bash scripting skills.
Deep expertise in exchange trading gateways, market data feed handlers or connectivity platforms.
Strong understanding of crypto exchange architecture and connectivity across major venues such as Binance, OKX, Bybit etc.
Experience with exchange APIs and protocols, including WebSocket, REST, FIX and binary protocols where available.
Experience designing and implementing real-time distributed systems, with strong knowledge of networking, multithreading, concurrency and memory optimisation.
Strong understanding of market data sequencing, normalisation, order book construction and replay mechanisms.
Experience implementing recovery and reconciliation processes to manage unreliable data sources, connectivity interruptions and exchange-specific behaviours.
Good knowledge of crypto market structure, liquidity fragmentation, spot markets and derivatives, including perpetual futures.
Proven ability to lead technical initiatives, influence architectural decisions and mentor engineers while remaining hands-on.
A track record of delivering production systems with measurable improvements in performance, reliability or trading capability.
Excellent communication and problem-solving skills, with the ability to collaborate effectively across engineering, trading, quantitative research and operational teams.
Experience with decentralised exchange connectivity or traditional market access systems would be 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: 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.
We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.
Your future role within QRT
This team is integral to the firm’s success. As such, your responsibilities will include:
Sourcing, designing and onboarding new datasets according to trading desks’ priorities
Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
Proactively solving data related problems in order to minimise time to production
Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production
Your present skillset
3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
Demonstratable interest in financial markets and the application of data in its analysis and understanding
Experience working with both traditional and alternative financial datasets
Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
Ability to work in a high-performance, high-velocity environment
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: Limassol; Nicosia
Workplace: hybrid
The Role:
We are seeking a talented and data-driven Senior Performance Marketing Executive to join our team in a rapidly growing, fast-paced, and agile environment. In this role, you will be responsible for planning, executing, and optimizing performance marketing campaigns to drive specific actions and achieve our business objectives. Your expertise in digital marketing, analytics and optimization techniques will play a critical role in achieving our marketing objectives and maximizing return on investment (ROI).
The main responsibilities of the position include:
Develop and execute performance marketing strategies to meet predefined goals
Conduct thorough audience research and segmentation to identify target demographics, interests, and behaviours for effective campaign targeting
Prepare comprehensive reports and performance summaries to communicate campaign outcomes, insights, and recommendations to stakeholders
Optimize campaign performance through continuous monitoring, data analysis, and strategic adjustments to maximize key performance indicators (KPIs)
Manage advertising budgets and make data-driven decisions to allocate budget across campaigns based on performance analysis and ROI
Stay up to date with industry trends, emerging technologies, and best practices in performance marketing to continuously improve campaign strategies and techniques
Conduct competitor analysis to understand the strengths, weaknesses, and strategies of our key competitors
Collaborate with internal and external stakeholders to ensure the successful execution of marketing campaigns
Main requirements:
BSc/MSc in Mathematics, Statistics, Marketing, or a related field
At least 4 years of experience in a similar position
In-depth knowledge of digital advertising platforms and tools, such as Google Ads, META ads, X ads , Tik Tok ads, Google Analytics 4, Data Studio and other relevant platforms
Experience in programmatic ads will be a plus
Advanced Microsoft Excel skills
Strong analytical skills and ability to interpret data to make informed decisions and optimize campaign performance
Self-motivated and results-oriented mindset
Eagerness to learn new tools and technologies
Highly organized and be able to adapt quickly to changing priorities and thrive in a fast-paced, dynamic environment by managing multiple projects simultaneously
Excellent oral and written communication skills in English
Benefit from:
Attractive remuneration package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Test your edge – Aptitude Assessment
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Test your edge – Personality Assessment
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Singapore/Hong Kong/Shanghai
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 our 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
Your core objective is to create high quality predictive signals
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
Share and discuss research results, methodology, data sets and processes with other researchers
Implement the signals and the relevant datasets within the global execution platform
Monitor signal behaviour and model performance over time
You would lead the full strategy research cycle from signal generation to implementation
Your present skillset
Direct experience as a quant researcher or trader, or in data science/machine learning space.
Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
Capacity to multi-task in a fast paced environment while keeping strong attention to detail
Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
Experience in exploring large datasets across multiple time frames is a plus
Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
Capacity to work with autonomy within a collegial and collaborative environment
Strong capacity to communicate with technologists, data scientists and traders across the globe
Proven track record in delivering successful systematic strategies
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, England, United Kingdom; New York, New York, United States; Norwalk, Connecticut, United States; West Palm Beach, Florida, United States
Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
Description
Graham is seeking a Quantitative Research Analyst to join our Quantitative Strategies team, and report into a Quantitative Research Manager. The individual will research and develop ways to improve GCM’s current trading systems while creating new systematic trading signals to complement and diversify the firm’s main strategies. The individual will maximize performance and competitiveness by utilizing advanced methods in quantitative analysis, risk management and portfolio optimization.
Responsibilities
Research and develop methods to make existing trading signals more efficient, profitable and robust
Research and develop new signals that complement and diversify production strategies in terms of style, source of alpha and markets traded
Research and develop portfolio construction and optimization methods to maximize performance while controlling risk, drawdowns and trading cost
Enhance the scalability and flexibility of portfolios to accommodate bespoke investment needs of clients
Follow robust research and development procedures to reduce differences between simulated and actual performance
Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of research as well as production versions of trading systems
Interact with other departments – technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately
Regularly present findings and ideas to management and investment committee
Complete other projects as requested by senior management
Requirements
PhD or MS in a quantitative field
2+ years related experience in systematic trading on the buy side, primarily targeting futures and FX, but also open to sovereign credit, options, and OTC markets. Knowledge in short-term/intraday systematic trading strategies is desired
Advanced programming experience in languages suited for quantitative research and strategy implementation
Ability to synthesize complex topics into easily digestible written commentary
Strong communication skills – both written and verbal
This role requires commuting into one of our offices Mondays through Fridays. We have offices in Rowayton, CT, New York, NY, West Palm Beach, FL, and London, UK. Please note that our central Quantitative Research team sits out of Rowayton, CT.
Base Salary Range
The anticipated base salary range for this position is $200,000 to $275,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications. This wage range may be modified in the future.
In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.
Notes:
No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.
Other
Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan. All employees also receive paid vacation and sick leave. Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods. Benefits are subject to change and may differ for non-U.S. roles.
Location: Home Based - Americas
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring an engineering manager to lead the reboot of our Landscape systems management solution for Ubuntu.
Ubuntu is growing rapidly in the enterprise, with estates expanding from cloud, to bare metal servers, to vSphere clusters, and of course desktops and devices. Ubuntu is easy to deploy and configure, one node at a time, but it's difficult to know where you stand on policy and compliance, patch management, or access control across a large estate. Ubuntu used to be under the radar in the enterprise, but it is now becoming an official platform for many companies. Those enterprises very much want a high quality way to manage their Ubuntu estate.
We started work on Landscape many years ago, and the current generation of the service reflects the choices of the day. We now have the opportunity to invest significantly in a team to bring a fresh new vision for large-scale Ubuntu estate management to the project. That doesn't make this a greenfield opportunity - we have a system that serves thousands of deployments - but we know we want to step back and give it a big new push, letting go of some things that are no longer so important, and embracing a range of new priorities. This role is the critical engineering leadership role for that mission.
Today we use Python, PostgreSQL, RabbitMQ, HAProxy, and have a ReactJS front end. In other web services projects we use more Golang these days. Our next wave of Landscape engineering is an opportunity to raise the bar on SAAS and on-prem solution technologies, architectures, patterns and operations. Our goal is to make it easy for enterprises to own a few Landscape instances that serve their global estate, and to be able to apply policy and know intuitively where they stand - globally - in a very complex world of mixed Ubuntu versions, substrates and flavours.
Engineering managers at Canonical bring both technical and management skills to the leadership of their teams. You will work closely with product managers, and produce an engineering roadmap with ambitious and achievable goals. A successful applicant will be capable of growing a team of engineers, collaborating with other engineering and business teams at Canonical, and providing periodic updates about successes and areas of improvement.
As an engineering manager at Canonical you must be technically strong, but your responsibility is to run an effective team and develop the colleagues you manage. You are expected to help them grow as engineers, do important work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and community. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution.
We work in Python and Golang, and expect engineering managers to be fluent in the language, architecture and components that their team uses. Code reviews and architectural leadership are part of the job. As manager, the commitment to healthy engineering practices, documentation, quality and performance optimisation are equally important technical responsibilities, as is the requirement for fair and clear management, and the obligation to ensure a high performing team.
Key responsibilities
Build and lead a team of engineers in your region
Develop talent through coaching, mentoring, feedback, and hands-on career development
Demonstrate sound engineering principles and directly contribute toward your team's goals
Set and manage expectations with other engineering teams, management, and external stakeholders
Lead modern, agile software development practices
Ensure a healthy, collaborative engineering culture in line with the company values
Be an active part of the leadership team and collaborate with other leaders in the organisation
Build automated, highly reliable image delivery, testing and publication pipelines
Engage with many other teams at Canonical, as well as the open source community and commercial partners
Work from home with global travel 4-6 weeks per year for internal and external events
Valued skills and experience
You love to mentor, develop and grow people, and have a track record of doing it
You are knowledgeable and passionate about software development
You are focused on success and the delivery of timely, high quality software
You have experience and commitment to agile development methodologies
You have a Bachelor’s or equivalent in Computer Science, STEM or similar degree
Software development experience in Python or Golang
Effective written and verbal communication skills
Practical experience with Linux system administration
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
We're looking for an API engineer to join our core API team and help scale Runway's platform serving millions of users and handling thousands of requests per second. You'll work on the critical infrastructure that powers both our public API (used by external developers) and internal tools, managing user data, task orchestration, billing, permissions, and asset management.
This is a high-impact role on a mature, production system. You'll build enterprise features, optimize database performance, design async workflows, and ensure reliability at scale. If you're passionate about API development, love TypeScript, and want to own systems end-to-end, this is the role for you.
A PEEK AT OUR TECHNICAL STACK
Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure.
Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure.
WHAT YOU’LL DO
- Own the full API lifecycle from design and implementation to monitoring, optimization, and documentation for both public and internal APIs
- Design and implement async workflows for task orchestration, content moderation, prompt enhancement, and post-processing pipelines
- Optimize database queries and improve performance for a high-traffic Postgres database
- Build rate limiting, fraud detection, and credit management systems
- Implement comprehensive API security, rate limiting, authentication, and monitoring systems to ensure reliability at scale
- Improve the public API developer experience with better documentation, SDKs, and tooling
- Improve the performance, reliability, and code quality of our codebases
WHAT YOU’LL NEED
- 3+ years of industry experience building production APIs
- Strong TypeScript experience, so you can jump in and be productive immediately
- Experience owning systems end-to-end: infrastructure, monitoring, logging, metrics, incident response
- Understanding of API design patterns, REST principles, and async workflows
- Experience with relational databases (Postgres preferred) and query optimization
- Experience architecting production-ready systems at scale using cloud primitives from AWS, GCP, or Azure
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines
- Humility and open mindedness; at Runway we love to learn from one another
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
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.
Your future role within QRT:
You will join a
cross-functional
team at the intersection of trading, data, and technology, playing a key role in building and enhancing the firm’s next-generation trading analytics and
PnL
infrastructure.
Your responsibilities will include:
Acting as a trusted partner to traders and quantitative researchers, providing insights on PnL, positions, and strategy performance
Leading investigations into PnL discrepancies and trading anomalies
Designing and developing dashboards and analytical tools for portfolio monitoring and management
Contributing to the evolution of QRT’s reporting and analytics platforms through automation and data architecture improvements
Performing reconciliations between trading, valuation, and risk systems
Working closely with technology teams to build scalable data pipelines and tools
Your present skillset:
Strong academic background in Engineering, Computer Science, Mathematics, Quantitative Finance, or a related field
Strong Python and SQL skills, with an interest in building scalable solutions
Exposure to AWS cloud services is a plus
Familiarity with DevOps practices and Python packaging is a plus
Strong analytical and problem-solving skills
Interest in financial markets, trading systems, and data infrastructure
Ability to thrive in a fast-paced environment with high standards of accuracy and ownership
Strong communication skills and ability to work with front-office stakeholders
Collaborative mindset and intellectual curiosity
Your enhanced experience and learning opportunities at QRT:
Direct exposure to a front-office trading environment, working closely with traders and quantitative researchers
Hands-on involvement in the development of business-critical trading analytics and PnL platforms
Opportunity to contribute to large-scale data systems supporting systematic trading strategies
Mentorship from experienced professionals across trading, quantitative research, and technology
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: Mumbai
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
Your core objective is to create high-quality predictive signals.
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
Share and discuss research results, methodology, data sets and processes with other researchers.
Implement the signals and the relevant datasets within the global execution platform.
Monitor signal behaviour and model performance over time.
You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
Experience in exploring large datasets across multiple time frames is a plus.
Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
Capacity to work with autonomy within a collegial and collaborative environment.
Strong capacity to communicate with technologists, data scientists and traders across the globe.
Proven track record in delivering successful systematic strategies.
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 to achieve a healthy work-life balance.
Location: Home based - EMEA
As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.
Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.
As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.
We have a number of mid-senior level openings in our team seeking the following:
Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
Strong behavioural interviewing techniques (competency based and psychometric assessments).
Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject.
A high level of personal organisation to work remotely and be effective.
Location: This is a remote position based in the EMEA region
What your day will look like
As a Talent Scientist you will:
Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
Consider our employer brand and how our interactions with a candidate impacts their experience.
Review and streamline hiring processes and tools to drive continuous improvement.
Work with external third parties and platforms to ensure we maximise our return on investment.
Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
What we are looking for in you
An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
Experience of hiring talent in the technology or consulting industry.
A highly data drive mindset with the ability to create measurable outcomes.
Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
Exposure/appreciation of psychometric assessments, including interpretation.
Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
A high level of personal organisation and self drive to work remotely and be effective.
Willingness to travel to company events 2-4 times a year, for up to two weeks each.
Other skills you may bring
Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
Psychometric validity and reliability metrics.
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Anywhere
Workplace: hybrid
WRA’s an employee-owned environmental consultancy. We are a tenacious team of planners, engineers, and scientists, and we aim to leave the lands we love better than we found them.
Our clients and partners hire us because we’re skilled at navigating through challenging projects involving wildlands, parks, community spaces, and infrastructure. We bring over four decades of expertise, long-standing relationships, and connections to our local communities to make sure that projects are pursued in responsible ways where both people and the environment thrive.
As an organization, we believe that independence and interdependence are not mutually exclusive. We invest in systems, processes, and employee programs to support our staff’s collective engagement and success. At the same time, we encourage our employees to operate with an ownership mindset, taking responsibility for outcomes and being true to our commitments.
If you think you'd be a great fit for WRA but don't see a job listed on our website that's an exact match, apply here for your dream job. Tell us how you could add value to our team, the strengths and experience you bring, and your ideal projects and responsibilities. Be sure to include any certifications or permits that you hold or are in the process of attaining. If there's a fit, we'll be in touch soon.
WRA’s company vision is ‘cultivating a sustainable future where people and the environment thrive,’ and that starts with our staff. We are committed to building a diverse, equitable, and inclusive work environment, and we have developed flexible policies, internal practices, and are investing in programs that prioritize learning and sustainability. We aim to create conditions that allow employees to prioritize their families, lead healthy and balanced lives, and to bring their authentic selves to work every day. We believe that by creating an exceptional workplace, our employees will be able to do their best work and be able to meaningfully contribute to the sustainability of the environment and the communities in which we live.”
WRA is an equal opportunity employer, and we are committed to creating a diverse environment. We recruit, employ, train, compensate and promote regardless of race, religion, color, national origin, gender, sexual orientation, disability, age, veteran status, and other protected status as required by applicable law.
Location: Anywhere
The role:
Being a web designer at B12 is being a main contributor to the success of the company! At B12, our web designers use our design suite to put together initial websites for our customers after drafts have already been made by our AI. You'll work closely with our customer success team and our other design experts to focus on what you love most--design! If you enjoy freelancing, designing websites, and working in an open and creative environment, then the web designer role with B12 is the right fit for you!
As a web designer you will:
Read and interpret customer briefs. Our current customers are small and medium-sized businesses ranging from cafés to real estate investment firms.
Given a new customer's content and preferences, as well as a website that has been automatically generated for the customer, use our Design Suite (a largely WYSIWYG website editor with support for custom HTML5/CSS overrides) to put an initial website together for the customer in ~4 hours.
Complete enhancement requests for existing customer websites, ranging from small changes to more complex customizations or design improvements.
As a fast-growing platform, there will be adjacent opportunities as reviewers and mentors for the right candidates who wish to grow with us.
In our experience with past customers, designers spend single-digit numbers hours on each project, with iterative feedback from our team. You might intersperse multiple customers’ project delivery while waiting on design feedback from the customer and our design lead.
In addition to doing customer delivery work, you will be helping us co-design our Design Suite, as well as a workflow management tool called Orchestra. We have open sourced Orchestra, and are building it to empower creative and analytical experts in their work.
You'll be a good fit if:
You are remote or a local NYC web designer.
You have excellent written English skills.
You have 3-5 years of web design experience and are excited to do customer-focused website delivery.
You have 1-2 years of HTML/CSS experience.
You are available minimum 10 hours a week, maximum 20 hours a week.
You are comfortable turning unstructured customer content and requests into into pixel-perfect web designs that work on all devices.
You are excited to receive feedback from a customer success manager or an art director, and are equally excited to push back on design decisions you disagree with.
You have desktop and mobile web design experience.
You are happy to work on a customer deliverable for a few hours at a time, and then move on to a different customer's deliverable.
You are excited to learn our Design Suite.
You care about and want to contribute to our mission of helping people do meaningful work.
Don't fear:
We're flexible on the number of years of previous experience for this role. We highly favor talent and interest.
Some candidates may see this list and feel discouraged because they don’t match all the items. Please apply anyway: there’s a good chance you’re more wonderful than you think you are.
B12 is a safe place for human beings. We particularly encourage you to apply if you identify as a woman, are a person of color or other underrepresented minority, or are a member of the LGBTQIA community.
Benefits:
Get paid for your expertise, we value the skills you bring as a designer.
Grow within our community - join other designers in our network (we actively use Slack) and get feedback to help you grow.
Shape the future of work - we highly value your input and working together we hope to design tools to change the way we work.
About B12
The workplace is undergoing rapid transformation, and
B12
is on a mission to help people accomplish more at work.
Orchestra
, the engine behind B12’s Human-assisted A.I. model, is currently used to help teams of expert designers build and manage beautiful and professional websites. Leveraging A.I. to streamline complex workflows, B12 delivers superior outcomes for both creative experts and customers who receive a high-touch experience and a self-optimizing website in days, not weeks. Using intelligent software to automate repetitive tasks, B12 allows people to leverage their expertise where it matters most, paving the way to greater craftsmanship, superhuman productivity, and a brighter future of work. Backed by one of the best human-machine teams in the world, B12 recently closed its $12.4M Series A round led by General Catalyst Partners, Breyer Capital, Founder Collective, SV Angel, and more.
Location: Denver, CO
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transport, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As a
Senior Enterprise Account Executive
at Via, you'll drive revenue growth across the North American Western territory. You'll build the relationships that matter, close the deals that shape how cities invest in mobility, and help authorities and operators across the region rethink what public transport can look like. This is a high-ownership individual contributor role at the intersection of technology, public policy, and
real-world impact
, on a team that believes better cities start with better transportation.
About the Role:
Building and closing high-impact partnerships with city governments, transport authorities, and private operators, navigating complex, multi-stakeholder sales cycles from first conversation to signed deal
Executing go-to-market plans for West’s unique buying landscape, including public-sector procurement processes, political dynamics, and multi-year funding cycles
Creating compelling, data-driven business cases that show how Via's platform improves ridership, efficiency, and sustainability for cities and regions across the market
Acting as a trusted advisor to city leaders and mobility operators as they design future transit networks, identify funding mechanisms, and navigate operational and political constraints
Representing Via externally in your market, contributing to how modern mobility is understood across the region through conferences, industry events, and thought leadership
Sharing market intelligence with product and strategy teams, contributing on-the-ground insight from what cities and operators actually need
About You:
6+ years of experience in sales, business development, or strategy, with a proven ability to win in enterprise, government, infrastructure, or tech-enabled services; a background in public transport or mobility is a strong plus
A track record of winning complex, multi-stakeholder deals where outcomes are driven by trust and influence
Strong analytical and storytelling skills; you know how to turn data, policy, and customer needs into a clear, compelling commercial narrative
Ability to read tone and adapt communication style, whether in a boardroom, at a conference, or in a written proposal
Curious, resourceful, and comfortable in ambiguity; you don't wait for perfect conditions to start moving
Sound commercial judgment; you know when to push, when to listen, and when to rethink the approach to maximise the value of a deal
A natural collaborator who views success as a team effort and thrives in high-ownership environments
What We Offer:
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $145,000-$165,000
Comprehensive health coverage, with low-cost dental and vision plans
A 401(k) with a generous company match and vesting
Fully paid parental leave for new parents, with extended leave options
Additional benefits (family planning, mental health, pet insurance, and other wellness perks)
20 days of paid time off (PTO) annually
There has never been a more exciting time to be on the cutting edge of public mobility.
Ready to join the ride?
Via is an equal opportunity employer.
ГибридseniorLimassol; Nicosia
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