Responsibilities:
— Ensure the accurate integration of data from various referential and external sources into downstream systems, guaranteeing high levels of data quality and consistency.
— Implement and perform first-level database controls, proactively initiating or amending processes to optimize data accuracy and operational efficiency.
— Develop a deep understanding of complex transformations and computations applied to generate all computed data within the firm's systems.
— Provide high-quality support to end-users, responding to requests from data users and project teams autonomously.
— Work closely with Data Referential, IT, and Data Governance teams to resolve transversal data issues and ensure end-to-end data consistency.
— Identify data issues, analyze their potential impacts and risks, and propose effective solutions to stakeholders.
— Collaborate with major service providers (e.g., Blackrock, State Street) and participate in governance meetings to track and resolve critical data topics.
— Contribute subject matter expertise in operational processes and data modeling to support various IT and Business project teams.
— Ensure any deviation from standard operating models is formally agreed upon internally and well documented.
Requirements:
— At least 5 years of experience in Finance (ideally asset management), including significant experience in operational roles (Data, IT, front, middle or back office).
— Thorough understanding of operational processes and the usage of major data users (portfolio management, middle office, risk, quant, compliance, financial controllers).
— Hands-on application experience with Aladdin or Adjuto.
— Autonomous approach to analyzing and solving complex requests from end-users (working beyond Standard Operating Procedures).
— Ability to understand data in-flows and out-flows, technical architecture, and business transformations applied to data.
— Excellent written and verbal communication in English; ability to liaise with multiple internal and external parties.
— Analytical mindset with the ability to perform control checks, investigate discrepancies, and escalate appropriately.
— Proactive attitude when identifying operational risks and taking necessary initiatives for risk mitigation.
— Very rigorous approach and strong organizational and interpersonal competencies.
Benefits:
— Remote work option.
— Salary paid in foreign currency.
Note: When applying, please mention that you found the vacancy on Remocate.
Мы ищем Senior System Developer с сильной экспертизой в C++ и опытом разработки высокочастотных торговых систем (HFT) на криптовалютном рынке. Ключевое требование - практический опыт разработки и поддержки Market Making-систем с непосредственной работой на централизованных криптовалютных биржах (CEX), в первую очередь Binance.
УдалённоseniorЛокация: Remote (необходимо пересечение с европейскими часовыми поясами)
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role:
Nebius is building the AI infrastructure that financial institutions will run AI on in production, from quantitative research and real-time risk to agentic workflows in banks and insurers.
The Field CTO for Financial Services is a senior technical leadership role at the intersection of production GPU infrastructure and the regulated business of financial services. You will lead the technical side of the vertical: the architecture conversation with CTOs and heads of research infrastructure, the technical content of regulated-buyer diligence, the reference architectures for financial workloads, and the product requirements that come out of the field.
Financial institutions buy AI infrastructure differently from most customers. Quantitative funds and AI-native fintechs buy GPU capacity directly and judge it on price-performance, availability, and how the cluster behaves under their own workloads. Banks and insurers add a second review: security, third-party risk, data residency, and exit planning are assessed before a deal reaches architecture discussions. You will earn the trust of both kinds of buyer and help make Nebius an approved supplier to financial institutions.
You will work alongside the Head of Financial Services, Sales, Security and GRC, Product, and Engineering. The role begins as a hands-on individual contributor, with a clear path to building and leading forward deployed engineers as the vertical scales.
This is a ground-floor opportunity to define how financial institutions run AI in production on a specialized AI cloud.
You are welcome to work remotely from the United States (New York City preferred). Travel expectations are 10% to 20% for customer visits, executive meetings, and key industry events.
Your responsibilities will include:
Executive Technical Leadership:
Serve as the technical face of Nebius to financial services customers, partners, and ecosystem stakeholders. Lead architecture workshops and technical discovery with CTOs, heads of quant and ML platforms, and CIOs, showing technical buyers how Nebius performs on their own workloads and institutions how the architecture fits their control framework.
Lighthouse Deal Support:
Partner with Sales leadership on strategic financial services deals, including workload-level cost comparisons against on-premises and hyperscaler options.
Regulated-Buyer Diligence:
Work with Security, GRC, and Legal to turn our SOC 2 Type II and ISO 27001 certifications, and our alignment with frameworks such as DORA, into answers that third-party risk teams accept. Cover data residency, tenant isolation, key management, audit logging, resilience evidence, concentration risk, and exit and portability plans. Flag gaps early and bring them to Product as requirements.
Architectural Guidance:
Define reference architectures for financial workloads: quantitative research and backtesting, real-time risk and fraud inference, LLM and agentic workflows in KYC, AML, and document processing, and fine-tuning on sensitive proprietary data.
Technical Product Strategy:
Translate what you learn in accounts into prioritized, evidence-backed requirements for Product, Engineering, and Infrastructure teams, and keep a structured feedback loop so R&D can act on them.
Field Enablement:
Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials that help Field SAs and sellers engage financial services buyers credibly.
Ecosystem & M&A:
Partner with ecosystem vendors (market and reference data providers, model risk and AI governance tooling, trading and risk platforms, systems integrators) to identify integration opportunities and evaluate potential technical M&A targets.
Team Building:
Build and lead forward deployed engineers as the vertical grows, setting how they scope, deliver, and hand learnings back to Product.
We expect you to have:
10+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain, including 5+ years in AI, ML, or MLOps with exposure to production or large-scale systems.
Prior experience in a senior technical leadership role, for example Field CTO, CTO or technical co-founder of a fintech or AI-native company, head of quant or ML platform, or principal-level architect on a cloud vendor financial services team.
Dual Competency:
You can draw a distributed system on a whiteboard for engineers and explain its value and risk profile to a CIO or a Chief Risk Officer.
GTM Fluency:
Experience partnering with Sales to close large enterprise deals and enabling field teams with technical assets.
Product-Minded Leadership:
You have defined requirements from field evidence and shaped platform strategy. You are comfortable telling a customer no when a request would create technical debt, and proposing a better alternative.
Mastery of the Stack:
Expert-level, production-grade knowledge of GPU architectures, Kubernetes and Slurm orchestration including Soperator, high-performance and parallel file systems, and networking constraints (InfiniBand and Ethernet).
Inference Optimization:
You understand the nuances of model serving, including batch sizes, quantization, KV caching, and latency tradeoffs, and can architect for both massive throughput and latency-sensitive demands such as real-time risk and fraud scoring.
Financial Services Fluency:
First-hand experience in at least one of capital markets and quant research infrastructure, bank or insurer AI platforms, AI-native fintech, or an FSI technical role at a cloud or GPU provider, plus working knowledge of how regulated buyers review vendors: data residency, third-party and concentration risk, and model risk management expectations (for example SR 11-7 in the US).
Builder Mentality:
You arrive with your own point of view on where financial institutions are heading with AI infrastructure and pursue it without waiting to be directed. You are comfortable starting as a hands-on individual contributor and growing into a team.
Public Technical Voice:
Conference talks, writing, or open-source work that shows credibility with engineering and executive audiences.
Communication:
Strong executive presence, capable of influencing product teams and leadership through clarity and credibility.
Comfort in Ambiguity:
Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving.
Preferred Qualifications:
Hands-on experience with quantitative research infrastructure, low-latency trading systems, or model risk management in a regulated institution.
Familiarity with the hybrid and on-premises GPU environments financial institutions run.
Strategic Empathy:
The ability to distinguish customers who need raw cluster access from those who need managed endpoints, and the judgment to prescribe the right path.
Why Nebius:
Build Solutions:
You will shape how financial institutions run AI in production on a specialized AI cloud.
Scale:
Opportunity to help build the Financial Services vertical from the ground up.
Frontier Technology:
Work at the frontier of AI infrastructure, agentic workflows, and financial intelligence alongside leading customers and partners.
Strategic Impact:
Real influence over product direction, platform strategy, and ecosystem development.
Ownership:
Join a team that values technical depth, ownership, and speed of execution.
Mission:
Help define how intelligence moves from the data center into trading desks, risk engines, and the operations of banks and insurers.
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Key employee benefits in the US:
#LI-LG1
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$210,000
—
$260,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
We are seeking an experienced
Head of Market Data
Development and Engineering
to lead the development, delivery, acquisition, governance, and optimization of market data for both digital and traditional assets across the firm.
This role sits at the intersection of trading and technology ensuring high-quality, cost-effective, performant, and compliant data services that power trading, research, and risk systems.
You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you.
What You’ll Do:
Market Data Strategy & Architecture
Define and execute a unified market data strategy across centralized crypto exchanges (CEX), decentralized venues (DEX), and traditional markets
Design scalable, low-latency data architecture supporting tick-level, order book, and on-chain data
Evaluate build vs. buy decisions for internal data platforms vs. external providers
Development Manager and hands on Development
Lead a small team of developers and be hands on yourself in Java
Design and build a Java based Market Data API to front all data sources including custom feedhandlers, vendor platforms, Kdb+, and DataBricks
Manage the Market data messaging bus used by all internal applications in the firm
Crypto Market Data & Vendor Management
Build relationships with crypto exchanges (e.g., Binance, Coinbase, Deribit, OKX), data aggregators, and node providers
Assist our vendor management team with commercial negotiations, licensing, and exchange agreements across both crypto and traditional markets
Data Quality, Normalization & Coverage
Ensure high-quality, normalized datasets across fragmented crypto venues (symbol mapping, schema standardization, latency benchmarking)
Oversee ingestion of real-time order book data, trades, reference data, funding rates, and on-chain metrics
Establish monitoring and alerting frameworks for data integrity and completeness
Cost Management & Optimization
Manage and optimize the global market data budget across crypto and traditional vendors
Identify cost-saving opportunities through vendor consolidation, direct exchange connectivity, and internal data solutions
Implement usage tracking and chargeback models where appropriate
Infrastructure Partnership
Partner with infrastructure teams to build the pipes necessary to bring in market data
Support hybrid environments (on-prem + cloud) and ensure resilience, redundancy, and scalability
Enable data access for research, backtesting, and production trading systems
Regulatory & Compliance Oversight
Ensure compliance with exchange licensing, redistribution rules, and evolving crypto regulatory frameworks
Implement entitlement controls, audit trails, and governance policies across all data usage
Stakeholder Collaboration
Work closely with trading, quant research, risk, and portfolio management teams to deliver data solutions
Support onboarding of new exchanges, instruments (perpetuals, options), and strategies
Act as the firm’s subject matter expert on both crypto and cross-asset market data
Leadership & Team Development
Build and lead a high-performing development team
Establish best practices for market data onboarding, validation, and lifecycle management
Foster a culture of innovation, automation, and operational excellence
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
10+ years of experience in custom development of real time market data platforms within a trading firm, hedge fund, or financial institution
Knowledge of key market data vendors, exchanges, and licensing models
Strong understanding of trading workflows, asset classes (equities, futures, options, FX, fixed income), and data types (real-time, reference, historical)
Experience with low-latency data systems, market data feeds, APIs, and streaming technologies
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills, with the ability to engage both technical and business stakeholders
Bonus Points:
Familiarity with on-chain data, blockchain nodes, and crypto data providers
What We Offer:
Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace
Apply now and join us as we grow the economy that runs on code.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
Base Salary Range
$220,000
—
$250,000 USD
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Remote
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you!
Requirements
4+ years of experience in risk management, including 2+ years in crypto or digital assets;
Bachelor's or Master's degree in Finance, Economics, Quantitative Finance, Mathematics, Engineering, or a related field;
Solid understanding of market microstructure and how trading strategies generate and hold risk exposure;
Practical knowledge of market risk metrics and methodologies - VaR/CVaR, stress testing, scenario analysis, P&L attribution;
Proficiency in working with data (SQL), BI tools (Tableau/Grafana), and automating KRIs/reporting;
Hands-on experience with crypto spot and derivatives markets;
Knowledge of risk identification methodologies and practical application (SWOT, checklists, environmental analysis, expert assessment);
Hands-on experience with crypto platforms and DeFi protocols;
FRM, CFA, PRMIA, or similar certifications are a plus.
Mindset & Soft Skills:
Proactive and initiative-driven;
Highly organized with strong attention to detail;
Comfortable in a fast-paced environment;
Excellent communication and negotiation skills;
Balanced and pragmatic decision-making;
Resilient under pressure;
Strong mentoring mindset.
Responsibilities
Develop, implement, and own the risk framework, including risk appetite and exposure limits;
Monitor market, liquidity, and counterparty risk;
Monitor and analyze P&L and risk exposure, distinguishing performance drivers from risk exposure;
Review risk parameters with the trading and quant teams;
Conduct stress testing and scenario analysis to evaluate the resilience;
Define and maintain Key Risk Indicators (KRIs) and early-warning systems;
Prepare regular risk reports for senior management;
Coordinate the work of risk analysts and provide mentorship;
Support incident response and crisis management for trading-related events;
Collaborate with Strategy, Ops, and Engineering teams to ensure comprehensive risk identification and mitigation planning.
Working terms
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio.
You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale.
What You'll Do
Own the research intake and quant roadmap. Field research questions from product, design, GTM and leadership. Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets.
Answer the big questions before launch. Use MaxDiff and conjoint to show which features, benefits and messages actually drive decisions. Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews.
Build measurement and segments that last. Adapt or develop validated scales for trust, perceived security and comprehension, track them across products and markets, and turn our user profiles into statistically validated, sized segments.
Get data you can trust, and connect it to behavior. Design sampling, translation and fraud controls for a global, crypto-native audience, and partner with data science to link survey data with product data.
Evaluate AI-assisted experiences. Design human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is.
Be leadership's partner for evidence. Present findings as recommendations with effect sizes, confidence and what would change the call. Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study. Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves.
Requirements
7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation.
Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending).
A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own priorities, and drive studies to a decision.
Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar.
Hands-on experience designing and analyzing MaxDiff and/or conjoint studies.
Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design.
Fluency in R or Python for analysis and visualization.
You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor.
A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers.
Nice to Have
Experience with crypto, onchain or tokenized-asset products.
A master’s or PhD in a quantitative field such as statistics, survey methodology, behavioral economics, or marketing science.
Depth in advanced methods, such as hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, or SQL and multilevel modeling.
Experience evaluating AI or LLM-powered products, such as human evaluation design, rubrics or rater reliability.
Research across markets in LATAM, APAC or EMEA, including translating survey instruments.
Responsible AI-native research workflows, such as using LLM tools to speed up instrument design, coding of open-ended responses or analysis.
What we offer
Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
Location: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
About this role:
As the Marketing Strategy and Operations Senior Manager, you will be the strategic right-hand implementer to the VP of Marketing. You will design and operate the marketing operating system that unlocks coordination and scale across the marketing ecosystem (content, media, social, paid, ambassadors, web, campaigns, automation).
In this role you will not just create plans and processes but you will also own specific key initiatives providing hands-on support building, testing, and scaling new bets. You will draw on a deep understanding of B2B and B2C marketing tactics and channels.
The role is scoped so you will spend 40% of your time on special marketing projects flexing to the areas that require resources and expertise.
Another 40% will be spent on marketing ops or building the system the team runs on (ways of working, OKR setting, weekly staff meeting, coordination with other teams, retros, etc).
Finally, 20% of your time will be spent on Chief of Staff-style work supporting the VP in thinking about marketing strategy, and articulating that vision and progress to the broader organization.
Level:
Senior Manager
Reports To:
VP of Marketing
Location:
At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back.
Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.
Travel Requirement:
Must be able to travel ~2–4 times per year to one of our countries of operation for team retreats, meetings, field visits.
What you’ll do:
Marketing special projects and strategic initiatives 40%
Lead complex cross-functional marketing projects from problem definition through design, launch, test, iteration, and scale while measuring qual and quant impact
Support marketing teams who need extra capacity or expertise in high priority projects by offering hands-on flex support or ownership of defined sub-problem areas
Partner with marketing leadership to propose, prioritize, and scope the project portfolio
Define success metrics and test plans up front, and report results candidly, including what didn't work.
Document what works, build playbooks, and hand off to a permanent owner or team
Marketing operations 40 %
Own annual and quarterly planning and OKR discipline, translating strategic intent into priorities, milestones, and measurable outcomes
Analyze marketing performance, trends, and customer insights to identify growth levers
Lead the org through operating change, including the transition to AI-enabled ways of working
Own marketing budget and headcount planning with Finance, building integrated resource plans and tradeoff recommendation
Partner with People Team on headcount planning and scaling hiring plans
Manage key marketing vendor evaluations, procurement, and onboarding of new tools
Marketing Chief of Staff 20%
Manage the leadership operating rhythm: staff meetings, business reviews, offsites, extended leadership meetings, all-hands, off-site retreats
Act as a strategic thought partner and advisor to marketing leadership on key decisions, priorities, and emerging opportunities; provide high candor feedback to executive leadership
Support leadership in navigating ambiguity, aligning stakeholders, team management, and driving execution
What you’ll bring:
5–7 years in strategy, chief of staff, management consulting, indie hacker, agency, or marketing/growth or GTM operations
Experience with a wide range of tactics and channels (you don’t need them all): lifecycle marketing, SEO, SMS and push, paid channels, social, content, and creator, earned media, thought leadership, events, B2B and/or B2C, SaaS marketing, digital marketing, segmentation
A first-principles thinker who can break a complex process into parts, decide what to change, automate with AI, or keep human, and connect the dots across functions
Proven record leading complex cross-functional initiatives in fast-paced, ambiguous environments
Highly organized and detail-oriented, with strong program management skills
Experience working with large marketing budgets: including forecasts, budgeting, headcount planning, investment tradeoffs
Experience with hiring, recruiting, and onboarding operations
Excellent presentation skills; experience building exec-level decks
Detail oriented, if you are reading the third to last bullet, congrats :) as a bonus here are a few tips. 1) don’t use AI in your writing for the application – really, it’s painfully obvious 95% of the time and I want to hire you not Claude 2) mention you saw this bullet in our interview :)
Experience managing executive operating rhythms, leadership meetings, business reviews, offsites, and planning forums
Familiarity with common marketing tech stack tools
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third-party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no-negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
This role is fully remote, so if you are not based in Kenya, the US, or the UK, we will share an estimated salary benchmark for the country you are based in during the hiring process.
United States
Base Salary:
$120,750
Bonus target:
10%
Annual Benefits Stipend:
$21,393
United Kingdom
Base Salary:
£77,600
Bonus target:
10%
Annual Benefits Stipend:
£2,760
Kenya
Base Salary:
$83,820
Bonus target:
10%
Annual Benefits Stipend:
$8,454
Germany
Base Salary
€93,900.
Bonus target
10%
Annual Benefits Stipend
€7,368
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Location: Global, EU
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you: join us as a !
Requirements
We're looking for a Senio/Staff-level engineer with an open mind and a builder's instinct - someone who goes beyond executing tasks and is ready to own the High-Performance practice end-to-end: establish engineering processes, drive R&D, evaluate and champion new technologies, and lead their adoption in production.
The ideal candidate can bridge the gap between business requirements for low latency and high throughput and the realities of existing infrastructure - translating "we need to be faster" into an actionable technical roadmap. You bring a fresh perspective, know how to organize the work, and are equally comfortable optimizing a hardware parameter and presenting a strategy to stakeholders.
We expect 5+ years of hands-on experience as a DevOps/SRE/Systems Engineer in performance-critical environments - and the maturity to grow yourself and grow a team around you.
Linux:
Advanced administration and OS-level tuning — real-time OS configurations, cgroups, CPU isolation, memory management, and low-level network stack configuration.
Hardware Internals:
Deep understanding of CPU power and performance states (C/P-states), Hyper-Threading / SMT trade-offs, TX/RX ring configuration, and the full data path from NIC through PCIe to memory and CPU. Ability to reason about and tune each stage of that path under production load.
Networking & TCP Internals:
Deep knowledge of TCP/IP — congestion control, ACK behavior, buffer tuning, and protocol-level latency sources. Strong Linux networking fundamentals: low-latency NIC configuration, bypass networking technologies (DPDK, RDMA), and market connectivity (multicast feeds, co-location networks, VPNs).
Performance Engineering:
Practical experience profiling latency-sensitive systems; familiarity with tools such as perf, flamegraph, strace, tcpdump, eBPF, and hardware performance counters.
Containerization:
Deep knowledge of Docker and Kubernetes, including low-overhead deployment patterns and performance trade-offs of containerized workloads.
IaC:
Proven track record with Ansible, Terraform, and Helm in production environments.
Monitoring:
Hands-on experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and alerting (P99, jitter, throughput KPIs).
Scripting:
Solid scripting in Bash and Python; Golang is a strong plus given its role in systems tooling.
CI/CD & Secret Management:
Strong grasp of CI/CD pipelines with experience integrating performance validation stages; familiarity with Vault for secrets management.
Security:
Understanding of DevSecOps principles and Kubernetes security policies.
Key Performance Metrics You'll Work With
Latency Distribution
- P99 / P99.9 across the tick-to-trade path, using hardware-level timestamps (NIC/PTP).
Jitter
- variance between min/max latency, measured over large sample sets in live market conditions.
Throughput
- messages per second (orders + cancels) under exchange burst scenarios.
System Reliability
- сontinuous monitoring of uptime
Extra Credit / Big Pluses
Hands-on experience with kernel-level optimization: syscall reduction, network stack bypass (DPDK, RDMA, Solarflare OpenOnload).
Background in HFT, algorithmic trading, or other ultra-low-latency production environments.
Experience with hardware timestamping, PTP/IEEE 1588, and precision time synchronization.
Familiarity with colocation operations and exchange connectivity (cross-connects, proximity hosting).
Proven SRE track record with formal SLO/error budget frameworks in latency-sensitive contexts.
DevSecOps: vulnerability scanning, Zero Trust, RBAC, and secure delivery pipelines.
Understanding of business processes in FinTech, crypto, or electronic trading.
Responsibilities
Low-Latency Infrastructure Ownership:
Design, deploy, and continuously optimize infrastructure for latency-sensitive trading systems — market data handlers, order/deal gateways, and risk check engines. Own the full stack from bare metal to application delivery. Define and maintain a reference architecture for low-latency connectivity when onboarding new trading venues, including reproducible configuration baselines, validation procedures, and performance acceptance criteria — so every new venue goes live on a proven, optimized stack.
Cloud & Hybrid Network Connectivity:
Design, implement, and maintain complex low-latency network solutions for cloud provider interconnects - including cross-connects and Direct Connect / ExpressRoute links between cloud regions, hybrid on-premise/cloud topologies, and high-throughput inter-server fabrics. Ensure both latency minimization and fault tolerance at every layer: physical redundancy, failover routing, and path diversity across providers and regions.
Hardware & OS Stack Tuning:
Go deep on the full hardware and OS stack - CPU pinning, C/P-states, HT/SMT configuration, NUMA topology, IRQ affinity, TX/RX ring sizing, NIC offloading, and network stack bypass (DPDK/RDMA where applicable). Understand the complete data path from NIC through PCIe to memory and CPU - and optimize every hop.
Infrastructure as Code (IaC):
Automate provisioning and configuration of high-performance environments using Ansible, Terraform, and Helm - with performance reproducibility as a first-class requirement.
Latency Profiling & Benchmarking:
Systematically profile and debug latency hotspots across the full execution path. Establish and maintain SLA/SLO targets; track P99/P99.9 distributions, jitter, and throughput - not just averages.
CI/CD for Performance:
Build and maintain CI/CD pipelines that include automated latency regression testing, so performance degradations are caught before they hit production.
Monitoring & Observability:
Design and operate comprehensive latency monitoring and alerting systems (Prometheus, VictoriaMetrics, Grafana) - including hardware timestamping (NIC/PTP) and fine-grained performance telemetry.
Colocation & Network Placement:
Research, evaluate, and manage optimal server placements - colocations, cross-connects, proximity hosting. Work closely with network and infrastructure teams to minimize physical and logical distance to exchanges.
High Availability & DRP:
Design systems that maintain stability and reliability under peak load while continuously pushing latency lower - zero regressions, always.
Cross-Team Collaboration:
Work alongside algo developers, quant teams, and network engineers to ensure trading strategies execute with minimal infrastructure overhead.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Location: Global, EU
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you: join us as a Senior DevOps!
Requirements
We're looking for candidates with 5+ years of hands-on experience as a DevOps / SRE and deep expertise in the following technologies:
Linux:
Advanced administration and OS-level tuning — real-time kernels, process scheduling, memory management, cgroups, CPU isolation, and I/O optimization.
Cloud platforms:
Understanding of and experience in building complex systems focused on high availability (HA), low latency and high-performance computing (HPC)
Networking:
Deep understanding of TCP/IP, UDP, multicast, Ethernet, VLANs, and PTP at the wire level. Experience with low-latency network configurations and familiarity with kernel bypass technologies (DPDK, RDMA) is a strong plus.
Containerization:
Deep-dive knowledge of Docker and Kubernetes, including performance trade-offs of containerized workloads and low-overhead deployment patterns.
IaC:
Proven experience with Ansible, Terraform, and Helm in production environments.
Hardware Performance:
Working knowledge of how CPUs, NIC queues, memory, and storage behave under pressure. Hands-on experience with hardware tuning (BIOS configs, CPU isolation strategies, NIC queue management).
Monitoring:
Practical experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and fire meaningful alerts rather than noise.
Scripting:
Proven track record writing production scripts in Bash and Python. Golang is a significant plus.
CI/CD:
Strong grasp of core CI/CD tools and experience with secret management using Vault.
Security: Understanding of DevSecOps principles and hands-on experience configuring security policies in Kubernetes (Zero Trust, RBAC, secure code delivery).
Databases:
Solid working knowledge of SQL and/or NoSQL databases under operational conditions.
On-Call & Incident Response:
High sense of ownership for production systems — willing to participate in on-call rotations and available to respond to critical incidents outside business hours when the situation demands.
Extra Credit / Big Pluses
Linux: Deep-dive into kernel-level optimization — from syscalls and network card tuning to DPDK or FPGA-based networking.
Proven experience operating High Availability / Ultra-Low Latency solutions in live trading environments.
Experience with hybrid infrastructures (on-premise + cloud) — colocations, cross-connects, and proximity hosting.
Background in building and operating Big Data and Data Analytics platforms.
Understanding of business processes in the FinTech / Banking / Crypto / HFT sector.
Proven track record as an SRE with formal SLO / error budget frameworks.
DevSecOps: Vulnerability detection, enforcing security best practices, and experience with scanning tools (Trivy or Snyk).
Blockchain / crypto-native background is a bonus.
Responsibilities
Hybrid Infrastructure (Baremetal and Clouds):
Administer Linux servers (Ubuntu, CentOS, RHEL), drive incident resolution, and take end-to-end ownership of system reliability.
Low-Latency Systems Operations:
Proactively monitor, troubleshoot, and tune latency-sensitive trading systems and exchange connections across multiple asset classes. You treat P99 latency as a first-class metric.
OS & Hardware Tuning:
Go deep on the Linux stack — CPU pinning, NUMA topology, IRQ affinity, kernel parameter tuning, NIC offloading, and BIOS-level configurations. If it affects the tick-to-trade path, you own it.
Infrastructure as Code (IaC):
Automate deployment and configuration using Ansible, Terraform, and Helm with performance reproducibility as a hard requirement.
CI/CD:
Build and maintain rock-solid CI/CD pipelines (GitLab CI, Jenkins, ArgoCD) including automated performance regression checks.
Monitoring & Observability:
Design and operate comprehensive monitoring and logging stacks (Prometheus, VictoriaMetrics, Grafana, ELK). Build latency-aware dashboards and alerting — P99/P99.9, jitter, throughput, and error rates.
High Availability & DRP:
Design and implement architectures adhering to HA, scalability, and Disaster Recovery principles — zero regressions while continuously reducing latency.
Cross-Team Collaboration:
Partner with quant, trading, and network engineering teams to squeeze every drop of performance from the full stack — from hardware up to application logic.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Location: Paris, France
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Pourquoi Deliveroo ?
Lorsque l'on vous dit Deliveroo, vous imaginez sans doute d'abord les bons petits plats livrés chez vous en moins d'une demi-heure. Plutôt sympa non ? Mais c'est en coulisses que l'histoire est la plus intéressante. Elle est synonyme de forte croissance et d'immenses opportunités dans les années à venir. Nous opérons désormais dans 10 marchés à travers le monde et travaillons avec plus de 176 000 restaurants partenaires et commerces en tous genres en France. Nous collaborons avec des milliers de livreurs et de livreuses partenaires pour le plus grand bonheur de nos millions de personnes clientes.
Nous gérons l'une des marketplaces tripartites les plus complexes du monde et nous le faisons en temps réel. Des millions de personnes clientes et des milliers de restaurants, de commerces en tous genres, de livreurs et de livreuses comptent sur nous pour être mis en relation en quelques secondes. Nos algorithmes sur lesquels repose cette marketplace sont l'ingrédient secret qui nous permettent de livrer nos commandes en un temps record.
Description de poste :
En tant que
stagiaire
Account Manager
, vous serez partie prenante du succès de nos partenaires supermarchés et commerces de bouche, en veillant à offrir une expérience unique et magique à nos utilisateurs; tout en construisant une base solide et durable pour notre application. Vous serez ainsi en support des missions suivantes :
En tant que
stagiaire
Account Manager
vous aiderez les Account Managers auxquels vous serez rattaché à développer leur portefeuille d’enseignes. Vos principales missions consisteront à :
Assurer le suivi opérationnel et commercial des magasins de votre portefeuille.
Animer le portefeuille de magasins partenaires.
Analyser quotidiennement les performances opérationnelles des magasins.
Appeler quotidiennement les partenaires sous performants pour les accompagner dans leur excellence opérationnelle.
Assurer la bonne adoption des produits Deliveroo (application de réception des commandes, outils marketing, portail partenaire, etc.)
Paramétrer et mettre en place les campagnes marketing.
Profile recherché :
Esprit commercial -
vous savez anticiper des discussions commerciales, et influencer des décisions prises par l’Account Manager avec le siège social. Idéalement, vous bénéficiez d’une première expérience commerciale.
Proactif(-ive) -
dans vos relations avec les interlocuteurs. Vous adorez être sur le terrain et vous êtes impliqué(e) dans tous les aspects opérationnels de votre rôle et dans votre périmètre.
Client centric
- être obsédé par nos clients. Vous utilisez des données quantitatives et qualitatives pour construire un service opérationnel excellent pour nos clients.
Adaptabilité -
vous êtes enthousiaste, flexible et adaptable, capable de surmonter les obstacles grâce à la facilitation, la créativité et l'ingéniosité. Vous savez quand il est temps de passer un appel et appliquer quotidiennement la règle des 80 / 20.
Esprit d'équipe -
vous savez collaborer et tirer le meilleur parti des personnes qui vous entourent. Vous êtes capable de travailler efficacement à tous les niveaux de Deliveroo et de réussir avec et par les autres.
Optimiste et dynamique
- vous apportez de la fraîcheur, de l'énergie et de la passion dans l'équipe. Vous contribuez à créer un environnement de travail unique, propice aux nouvelles idées et agréable pour les autres personnes impliquées.
Langues -
français courant et anglais professionnel.
Date de début: Janvier 2027
Nous offrons un environnement de travail dynamique et stimulant, où vous aurez l'opportunité de développer vos compétences et de contribuer activement à notre mission de devenir la référence en matière de bien manger. Rejoignez notre équipe exceptionnelle dès maintenant et faites partie de cette aventure passionnante !
La vie chez Deliveroo :
Notre équipe est en forte croissance, notre impact très important, et nous cherchons à répondre aux questions les plus stimulantes du moment. Nous progressons rapidement, nous explorons toujours de nouvelles idées et nous sommes très transparents quant aux décisions que nous prenons et à ce qui motive nos choix.
Il y a tellement de questions que nous souhaitons résoudre, et encore plus que nous n'avons pas encore rencontrées. Comment les données et la technologie peuvent-elles aider les restaurants à développer leur activité à mesure que les habitudes des consommateurs évoluent ? Comment pouvons-nous prédire ce qu'une personne souhaitera pour dîner avant même que l'idée ne lui vienne à l'esprit ? Chez Deliveroo, ces questions ne sont que quelques-uns des défis ambitieux auxquels nous nous efforçons de répondre – et il n'y a aucun projet qui ne peut pas devenir le vôtre. Aucune solution n'appartient à une équipe en particulier, ce qui vous ouvre d'extraordinaires possibilités en termes de développement et d'impact personnel.
À compétences égales, ce poste est ouvert aux travailleurs et travailleuses en situation de handicap ou assimilés au sens de l’article L5212-13 du Code du travail. Deliveroo s’engage en faveur de la diversité, l’égalité professionnelle, l’emploi des personnes en situation de handicap.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Москва
В подразделении риск-квантов (risk-quants) Сбера открыты вакансии для стажеров и специалистов с опытом работы, занимающихся моделированием финансовых рынков и машинным обучением (ML).
Обязанности
* заниматься разработкой моделей ценообразования и расчета риск-метрик для финансовых инструментов, а также подходов к управлению рыночными рисками
* развивать передовые методы ИИ для финансов: генеративное моделирование мультимодальных данных (диффузия, VAE, LLM и др.), обучение с подкреплением
* сочетать фундаментальные исследования с прикладными задачами Сбера.
Требования
* образование с математическим уклоном: предпочтительно (но не ограничиваясь) МКН СПбГУ, матфак ВШЭ, мех-мат МГУ, РЭШ, МФТИ, ИТМО и др.
* понимание финансовой математики: знания в области теории вероятностей и случайных процессов, математической статистики и эконометрики
* программирование: свободное владение Python (NumPy, Pandas, PyTorch)
* базовые знание ML/DL
* классические методы ML, Deep Learning
* современные генеративные модели / RL-алгоритмы
* архитектуры и принципы LLM.
Будет плюсом:
* наличие профильных сертификатов – CFA, FRM, CQF и т.д.
* окончание курсов ШАД, Vega или аналогов
* опыт работы над проектами в области GenAI, анализа временных рядов (Time Series, TS), обучения с подкреплением (RL).
Условия
* комфортный современный офис рядом с м. Кутузовская
* формат работы: гибрид
* ежегодный пересмотр зарплаты и годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Brazil
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our customer is a leading global financial institution with a strong presence across Capital Markets and Financial Services. The organization operates in a highly technology-driven environment where reliable, resilient, and high-performing trading systems are critical to business operations.
The technology teams work closely with front-office trading desks, developers, quants, and business stakeholders to support sophisticated financial applications and ensure seamless technology operations across global markets.
What You’ll Do
Provide day-to-day application support for Fixed Income and Capital Markets trading systems, including application monitoring and responding to user queries through email and chat.
Work closely with global and regional business users, Trade Floor teams, Developers, Quants, and Technology groups to investigate and resolve issues within agreed timelines.
Log and manage requests, incidents, problems, and changes using ServiceNow and Atlassian JIRA.
Troubleshoot production issues, perform root cause analysis, and track incidents through resolution.
Support application rollouts, upgrades, deployments, and implementation activities, ensuring issues are identified and resolved effectively.
Conduct end-to-end testing, regression testing, and QA for enhancements, bug fixes, and application changes before production releases.
Partner with development teams to build solutions that leverage enterprise monitoring and logging, improve system resilience, and minimize manual maintenance.
Develop a deep understanding of application components, functionality, interfaces, data flows, business rules, system dependencies, and operational processes.
Proactively monitor system performance and identify opportunities to improve application stability, reliability, and operational efficiency.
Participate in Disaster Recovery planning and testing, system changes, and server upgrade activities.
Contribute to operational documentation and knowledge sharing to strengthen the team's ability to support critical applications.
Follow ITIL best practices across Incident, Problem, and Change Management processes.
Manage multiple priorities simultaneously while maintaining clear and effective communication with business stakeholders.
What You Bring
Professional experience supporting Capital Markets, Fixed Income, trading, or financial operations applications, particularly in a high-pressure production environment.
Strong experience with application support, production troubleshooting, monitoring, incident management, and root cause analysis.
Knowledge of ITIL service operations methodologies and experience working with service management platforms such as ServiceNow and JIRA.
Strong understanding of IT operations practices, including monitoring, logging, alerting, application performance, and operational controls.
Excellent communication and problem-solving skills, with the ability to manage business expectations and communicate effectively with both technical and non-technical stakeholders.
Ability to work independently while also collaborating effectively within a global, cross-functional team.
Strong understanding of application dependencies, system components, interfaces, data flows, and business processes.
Experience reviewing and supporting system changes, application deployments, server upgrades, and Disaster Recovery activities.
English level
Intermediate/Upper-Intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Compensation details are shared with candidates at the early stage of the recruitment process.
The offer is not binding until a signed contract is in place.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Location: Москва
Наша команда занимается созданием следующего поколения интеллектуальных систем для анализа рисков. Среди наших проектов:
* разработка NLP моделей на основе LLM, создание sota AI-агентов и мультиагентных систем для операционных и ESG-рисков
* создание transformer-based моделей для решения банковских задач на финансовых данных; моделирование финансовых рынков с помощью машинного обучения
* разработка классических ML-моделей для процесса кредитования, которые являются ядром бизнеса Сбера и ключевым драйвером прибыли.
и сейчас наша команда в поиске талантливых стажеров трех направлений: Data Scientist, LLM-researcher, и Quant-Risks в Управление риск-моделирования.
Обязанности
* разработка моделей для автоматизации и оптимизации кредитных процессов
* сбор, анализ и подготовка данных для моделирования
* написание поддерживаемого, читаемого кода; участие в обсуждениях технических подходов
* помощь в опромышливании результатов исследований
* презентация результатов исследований бизнес-заказчиками.
Требования
* статус студента бакалавриата/магистратуры на момент трудоустройства
* в области компьютерных наук, математики или другой релевантной области
* знания в области теории вероятностей и математической статистики
* отличные навыки программирования на Python, SQL.
* знание библиотек Numpy, Pandas, Scikit-learn, XGBoost/LightGBM/CatBoost, Transformers, Pytorch
* опыт разработки моделей машинного обучения (классический стек, NLP, DL).
**Будет плюсом:** опыт работы с LLM, c большими данными (PySpark).
Условия
* формат работы: офис в г. Москва, рядом с м. Кутузовский пр.
* гибкий график и возможность совмещать с учебой: от 30 до 40 часов в неделю
* возможность заниматься спортом в одном из спортзалов банка
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Москва
Наша команда занимается созданием следующего поколения интеллектуальных систем для анализа рисков. Среди наших проектов:
* разработка NLP моделей на основе LLM, создание sota AI-агентов и мультиагентных систем для операционных и ESG-рисков
* создание transformer-based моделей для решения банковских задач на финансовых данных; моделирование финансовых рынков с помощью машинного обучения
* разработка классических ML-моделей для процесса кредитования, которые являются ядром бизнеса Сбера и ключевым драйвером прибыли.
и сейчас наша команда в поиске талантливых стажеров трех направлений: Data Scientist, LLM-researcher, и Quant-Risks в Управление риск-моделирования.
Обязанности
\- разработка PoC и MVP AI-агентов на основе LLM с использованием фреймворков для работы с LLM, таких как langchain/langgraph
\- адаптация и обучение LLM Сбера с использованием внутренних и внешних данных (Prompt Tuning, LoRA, SFT, GRPO)
\- применение RL подхода для улучшения reasoning способностей модели.
Требования
* статус студента бакалавриата/магистратуры на момент трудоустройства
* знание статистики и ML/DL алгоритмов
* знание Python и ML-стэка (PyTorch, Scikit-learn, Pandas)
* понимание как устроен современный NLP (токенизация, обработка данных, эмбеддинги, pre-train модели и тд)
* опыт проектирования и обучения нейросетевых моделей (от CNN/RNN до трансформеров)
* опыт построения RAG (классический RAG, GraphRAG, Agentic RAG)
* знание классических алгоритмов (two pointers, бинарный поиск) и структур данных (куча, стэк, бинарное дерево)
* уверенный английский язык для чтения и анализа научных статей и документации
Условия
* формат работы: офис в г. Москва, рядом с м. Кутузовский пр.
* гибкий график и возможность совмещать с учебой: от 30 до 40 часов в неделю
* возможность заниматься спортом в одном из спортзалов банка
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
— Полный цикл исследований по краткосрочной микроструктуре, LP/хеджированию, исполнению, межплощадочным сигналам, распределению риска и смежным задачам crypto/DeFi
— Дизайн исследования: гипотеза, target/разметка, baseline, метрики, причинно корректная OOS-проверка, анализ режимов и явные критерии GO/NO-GO
— Работа с данными: поиск источников, выравнивание времени, контроль качества, построение признаков и воспроизводимые контракты данных
— ML/DL по структуре задачи
— RL или другие методы последовательного управления - только когда они действительно оправданы
— Реалистичная симуляция и торговая экономика: комиссии, проскальзывание, ликвидность, задержки, adverse selection, impact, fill assumptions, хеджирование и синхронизация DEX/CEX
— Paper/shadow-стратегии, анализ sim-to-real и совместная работа с quant developer при переносе доказанных решений в production
— Инженерный стандарт исследования: воспроизводимые эксперименты, чистый Python, критичные проверки, мониторинг и дисциплинированное использование LLM/агентов
Требования:
— Проверяемый опыт 2-3 Quant/ML проектов, где кандидат лично отвечал за существенную часть цепочки от постановки задачи и данных до проверки, кода и решения о внедрении либо GO/NO-GO
— Отличный Python и сильная инженерная база: кандидат сам пишет, отлаживает и ревьюит исследовательский код
— Сильная статистика, вероятность, оптимизация и работа с временными рядами: временную зависимость, leakage, selection bias, uncertainty и честную OOS-проверку
— Глубокое практическое понимание микроструктуры и исполнения: order book/flow, liquidity, latency, fees, slippage, adverse selection, impact, sizing и hedging
— Сильное практическое владение ML/DL для последовательных финансовых данных и способность отличать реальный сигнал от оптимизации метрики
— Высокая самостоятельность: структурировать неясную проблему, выбирать наиболее информативный эксперимент, быстро останавливать слабые гипотезы и принимать решения на основании доказательств
— Рабочее понимание структуры crypto-рынка
— Прямой опыт DeFi/DEX будет плюсом, но сильный CEX/microstructure опыт может его компенсировать при быстрой адаптации
Задачи:
— разработка инфраструктуры для DeFi-протоколов и vault-продуктов
— построение индексаторов
— разработка API
— работа с Quant-инженерами
Требования:
— опыт 5–8+ лет в бэкенд-разработке
— опыт с Rust (или C++/Go/Zig)
— ключевые навыки: PostgreSQL, опыт с блокчейном/DeFi, высокая автономность
Условия:
— удалённая работа
— зарплата $140,000 – $180,000 в год (гросс) (оценка)
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УдалённоseniorIf you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back
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Paris, France; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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