Задачи:
— Design, build, and operate backend infrastructure for new DeFi protocols and vault products
— Build vault management, curation, and constraint-based allocation systems
— Build high-throughput blockchain indexers and data-ingestion pipelines
— Design performant, stable, and well-documented APIs for applications and internal systems
— Work with Quant Engineers to turn reviewed models into reliable production services
— Work closely with smart contract engineers on systems that consume onchain state and submit onchain transactions
— Take technical ownership of projects and help maintain a high engineering standard across the team
Требования:
— 5-8+ years of backend engineering experience, including ownership of production systems
— Strong experience with Rust; experience with C++, Go, Zig, or another systems language can substitute
— Experience building high-performance, data-intensive, or event-driven backend systems
— Strong PostgreSQL knowledge
— Experience with blockchain, DeFi, financial infrastructure, or another environment involving real capital
— The ability to work independently in a high-autonomy environment
— Strong judgment around correctness, reliability, and security
Location: Office, EU
We are the creators of a new fintech era!
Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.
We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.
Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.
Join us as a Head of Data Platform.
Requirements
Education & Experience:
— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher
— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify
— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error
Core Technical Skills — data platform:
— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production
— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset
— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact
— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting
— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on
Core Technical Skills — analytics & applied math:
— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles
— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query
— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself
— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate
Market & Domain Knowledge:
— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime
— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms
— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships
— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders
— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks
— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data
Mindset & Soft Skills:
— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead
— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders
— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates
Responsibilities - Platform
— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset
— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs
— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace
— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation
— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards
— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships
— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable
Responsibilities
:
— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity
— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap
— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration.
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.
22 business days of paid leave.
Additional days off for national holidays.
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: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing.
We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community.
Come here to build and grow this Community for us.
THE OPPORTUNITY
- Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing.
- Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes.
- Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud.
- Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it.
- Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened.
- Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes.
- Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks.
WHAT YOU’LL BRING
- You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary.
- 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count.
- You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower.
- You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back.
- You've built something from a standing start, not just maintained an existing account.
- You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it.
- You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing.
We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community.
Come here to build and grow this Community for us.
THE OPPORTUNITY
- Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing.
- Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes.
- Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud.
- Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it.
- Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened.
- Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes.
- Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks.
WHAT YOU’LL BRING
- You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary.
- 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count.
- You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower.
- You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back.
- You've built something from a standing start, not just maintained an existing account.
- You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it.
- You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
О проекте и команде:
Технологическая компания, развивающая quantitative-инфраструктуру и ML-решения для рынков цифровых активов. Проект находится на pre-launch стадии, команда специализируется на quant research, machine learning и blockchain-разработке.
Задачи на этой роли:
— 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.
Ожидания от кандидата:
— Проверяемый опыт 2-3 Quant/ML проектов, где вы лично отвечали 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: вы сами пишете, отлаживаете и ревьюите исследовательский код;
— Сильную статистику, вероятность, оптимизацию и работу 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;
— Высокую 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.
Условия и возможности:
— Полная занятость, 5/2, гибридный/удаленный формат, офис в центре Москвы;
— Работа с реальным капиталом, где качество исследования, реалистичность исполнения и риск-контроль имеют прямое значение;
— Прямая работа с Quant/ML, разработкой и руководством компании, высокая самостоятельность и короткий цикл обратной связи;
— Небольшая команда, где сильное исследование может стать production-системой, а не закончиться презентацией;
— Компенсация всех необходимых инструменты и ПО для работы.
Компания AI research lab 42 — лаборатория, разрабатывающая автономного AI Scientist — систему, способную самостоятельно формулировать гипотезы, проводить эксперименты и находить решения.
Задачи:
— TradFi Research Lead: построить и возглавить research-направление в traditional markets, разрабатывать MFT-стратегии, строить портфели и risk/execution models, выводить стратегии в production
— AI Researcher — Autonomous Research: перейти от ручного quant research к автономной agent-driven системе, генерировать гипотезы, тестировать и оптимизировать стратегии
— Quantitative Researcher — Crypto MFT: полный цикл разработки medium-frequency crypto strategies, поиск alpha и backtesting, production и мониторинг live performance
Требования к кандидату:
— TradFi Research Lead: 5+ лет в systematic quant research, подтверждённый track record прибыльных MFT-стратегий, опыт с equities / futures / options / FX, опыт лидерства
— AI Researcher — Autonomous Research: MFT/HFT researcher, сильное понимание market microstructure, статистики и Python/ML, способность формализовать research-процесс для автоматизации
— Quantitative Researcher — Crypto MFT: 2+ лет в systematic trading, опыт запуска стратегий в live, глубокое понимание crypto market structure (spot, perps, funding), сильные Python, statistics и ML/DL
Условия:
— B2B контракт
— помощь с релокацией в Амстердам по high skilled migrant visa
— оформление в голландскую компанию с 30%ным налоговым рулингом
AI Research Lab 42 разрабатывает автономного AI Scientist — систему, способную самостоятельно формулировать гипотезы, проводить эксперименты и находить решения.
Первый фокус лаборатории — финансовые рынки: AI-система работает как автономный трейдер, а полученный капитал финансирует дальнейшие исследования. Параллельно лаборатория ведёт исследования в области биологии человека, нейротехнологий и фундаментальной физики.
В trading research открыто 3 позиции:
TradFi Research Lead
Задача — построить и возглавить research-направление в traditional markets: разрабатывать MFT-стратегии, строить портфели и risk/execution models, выводить стратегии в production.
Требования: 5+ лет в systematic quant research, подтверждённый track record прибыльных MFT-стратегий, опыт с equities / futures / options / FX, опыт лидерства обязателен.
AI Researcher — Autonomous Research
Задача — перейти от ручного quant research к автономной agent-driven системе, которая сама генерирует гипотезы, тестирует и оптимизирует стратегии.
Требования: MFT/HFT researcher с сильным пониманием market microstructure, статистики и Python/ML, способный формализовать research-процесс для автоматизации.
Quantitative Researcher — Crypto MFT
Задача — полный цикл разработки medium-frequency crypto strategies: от поиска alpha и backtesting до production и мониторинга live performance.
Требования: 2+ лет в systematic trading, опыт запуска стратегий в live, глубокое понимание crypto market structure (spot, perps, funding), сильные Python, statistics и ML/DL.
Условия:
— Работа удалённо по B2B контракту
— Через полгода релокация в Амстердам по high skilled migrant visa
— Оформление в голландскую компанию с 30% налоговым рулингом
Location: New York, New York, United States; Norwalk, Connecticut, 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.
The Internship Program
Graham is looking for talented undergraduate and graduate students to join our team as Summer Interns. Graham’s paid internship features a structured program consisting of educational, skill-building and networking events. Learning is the cornerstone of our culture and plays an active role in the internship experience through daily collaboration and interaction with employees at all levels, in workshops, and most significantly by working on projects that matter to the fundamentals of our business. In 2027, Graham will offer in-person internship opportunities in our Connecticut and New York City offices. Interns will participate in firmwide programming alongside the broader intern class. Candidates will have the opportunity to indicate their preferred office location (Rowayton, CT or New York, NY) as part of the application process. Depending on business needs, candidates may be considered for opportunities in either location.
Most of our departments will be looking to hire interns, including but not limited to the following areas:
Quantitative Strategies (Systematic Alpha Generation and Quant Trading & Operations)
Discretionary Portfolio Management
Risk Management
Investor Services
Economic Research
Technology (Software Development and IT Support)
Trading Services (Financial Reporting)
Legal/Compliance
Requirements
Bachelors, Masters, or PhD candidate with an interest in financial markets, investment management, or the financial services industry
Prior to the start of your summer internship at Graham, you must have completed at least two (2) years of undergraduate studies
A minimum cumulative GPA of 3.5
Proficiency with Microsoft Office and/or other analytical tools relevant to the internship
Strong analytical, problem-solving and critical-thinking skills
High degree of intellectual curiosity
Ability to communicate effectively in both verbal and written form
Well-organized, detail-oriented and able to focus in a dynamic environment
Ability to prioritize and manage workload
Hard-working, diligent, and eager to learn in an intellectual and collaborative environment
Additional Qualifications for Quantitative Roles
(typically in Quantitative Strategies, Risk Management, Technology)
Working towards a degree in a quantitative field (e.g. computer science, math, engineering, etc.)
Programming skills
Pay Range
The anticipated hourly rate for this position ranges from $40/hr to $55/hr. The anticipated range is based on information as of the time this post was generated. The applicable 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.
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.
Other
This is an in-person internship. Interns are expected to work from their assigned Graham office Monday through Friday for the duration of the program.
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
A world-leading rapid-growth digital asset trading firm is looking for a systematic trader to manage quantitative trading strategies and help improve the in-house trading and risk management platform. The firm has presence in major cryptocurrency exchanges and it trades different kinds of products in the market, ranging from spot to structural products. The firm is highly tech-driven with people from top-tier investment banks, hedge funds, and tech companies.
What You’ll Be Doing
Make markets for delta1 instruments such as spots, swaps and futures in crypto market.
Manage systematic trading strategies such as CEX/DEX arbitrage.
Conduct research on alpha signals and backtesting to enhance the profitability of trading strategies.
Work with developers to build and drive the continual improvement of the world-class risk management and trading tools.
What We Look For In You
Degree in a relevant area (Mathematics/Physics/Engineering/Computer Science/Finance) from a top university.
Proven records in systematic trading including market making and other systematic trading strategies.
Deep understanding of cryptocurrency delta1 products and basic knowledge of the cryptocurrency product is a plus.
Proficient in at least one programming language (Python/Java/RUST/C++).
Ability to work in a fast-paced environment and make rational decisions under pressure.
Good communication skills.
What We Offer
World-class connections to major cryptocurrency exchanges and ultra-low latency trading system.
User friendly strategy containers enable very easy and fast implementation, backtesting, and deployment of trading strategies.
Top notch quant development team providing support in state-of-the-art infrastructure, robust strategy implementations, and data service.
A chance to work and exchange ideas with brilliant ex-banking/ex-fund traders from various backgrounds.
Very competitive remuneration package structure.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote, EU
Workplace: remote
About us
Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?
We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.
Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally
Our culture
We build trusted products that help people access and discover economic opportunities.
We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.
We’re a global team building products people can actually use, turning complex technology into something simple and reliable.
We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.
About the Role
We're hiring a Staff Backend Engineer to build the backend infrastructure behind Aave App, a consumer savings app that makes onchain financial products simple, secure, and intuitive, and the vault products that power it.
The role focuses on the systems between blockchain protocols and the consumer experiences built around them. This includes account and wallet services, transaction orchestration, vault management, monitoring and rebalancing, partner vault integrations, high-reliability blockchain indexing, balances and yield data, funding and withdrawal flows, notifications, and performant, well-documented APIs for mobile and web clients.
You'll own a broad technical area with high ownership and turn ambiguous product goals into reliable production systems. Correctness, security, and operability are critical: the services you build will support customer transactions, sensitive account flows, user funds, and financial data across both onchain and offchain infrastructure.
You'll also work closely with Quant Engineers, who own the financial models, assumptions, and calibration behind vault allocation and rebalancing, and with smart contract engineers, who own onchain integration and enforcement. Backend owns the production systems, data pipelines, and services that run those models.
How you can make an impact:
Design, build, and operate backend services for Aave App across onboarding, funding, savings, vaults, withdrawals, portfolio data, and customer communications
Build vault management, monitoring, and rebalancing systems, including partner vault integrations, and work with Quant Engineers to turn reviewed allocation models into reliable production services
Build transaction-orchestration and high-throughput indexing services that safely prepare, submit, monitor, and reconcile onchain activity across its full lifecycle
Integrate with smart contracts, RPC providers, account infrastructure, payment partners, and other external services, designing for degraded dependencies and partial failure
Lead technical reviews for high-value systems and improve testing, observability, alerting, incident response, and deployment practices across the backend codebase
Work closely with mobile, web, product, design, protocol, smart contract, quant, security, data, and operations teams to deliver coherent consumer experiences
Raise the engineering standard through hands-on delivery, pragmatic architecture, clear documentation, and review that helps other engineers grow
Let's connect if you have:
6+ years of backend engineering experience, including ownership of complex production systems
Strong backend programming skills. Production experience with Rust is highly desirable, but we'll also consider strong systems experience in Go, C++, Zig, or Java
Experience building distributed, event-driven, or data-intensive systems with clear reliability and performance requirements
Strong knowledge of API/GraphQL design, PostgreSQL or another relational database, caching, queues, and observability
Experience with blockchain systems or other financial infrastructure involving real capital, particularly transaction signing, private-key or key-management flows, wallet infrastructure, and onchain transaction lifecycles, is highly desirable
Strong judgement around threat modelling, sensitive data, permissions, and the operational risks of systems handling financial value
Nice to haves:
Experience reading smart contracts and integrating with EVM-compatible networks, smart accounts, account abstraction, bridges, vaults, or DeFi protocols
Experience designing constraint, optimization, solver, or allocation systems
Experience building consumer fintech, savings, wallet, exchange, or payments products at meaningful scale
Experience with cross-chain indexing, large-scale data ingestion, Kafka, ClickHouse, or similar infrastructure
Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!
Equal opportunities statement:
Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.
Location: Remote
We're hiring a Junior Trader to join our trading team. You'll work directly with senior traders across strategies on centralized and decentralized venues, and take on your own responsibilities quickly.
We don't require prior DeFi experience. We do require that you're quantitative, technical, and able to move fast without breaking things.
WHAT YOU'LL DO
- Execute and manage trades across centralized (CEX) and decentralized (DEX) venues — order books, AMM pools, and concentrated liquidity positions.
- Monitor positions, inventory, and P&L in real time. Identify risks early and act on them.
- Build and improve the tooling the desk runs on: position trackers, reporting dashboards, hedging workflows, reconciliation.
- Analyze market and execution data to answer questions that matter — where slippage comes from, which pools are actually profitable, how our fill quality compares to the market.
- Develop real depth in market structure and protocol mechanics (AMMs, PMMs, lending protocols) and bring it back to the desk.
WHAT WE'RE LOOKING FOR
- 0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk.
- Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.
- Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.
- Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is.
- Sound judgment under pressure. Markets move at 3am and things break. We need someone who stays composed, thinks clearly, and escalates early.
- Precise communicator
- Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment.
NICE TO HAVE
- Personal trading, market-making, or on-chain activity of any kind — a portfolio, a bot, an arbitrage script, a Dune dashboard.
- Familiarity with Solana tooling (Jupiter, Orca, Drift) or EVM DeFi (Uniswap, Aave, Curve).
- Exposure to algorithmic or systematic trading.
- Machine learning or large-scale data analysis (regression, tree-based methods, classification).
- Internships or prior work at a trading firm, market maker, exchange, or protocol.
WHAT YOU'LL GET
- Direct mentorship from traders running real capital — you'll learn by working alongside them, not from a curriculum.
- Responsibility as fast as you can earn it, with clear feedback on where you stand.
- Exposure across the full stack of a trading operation: execution, risk, tooling, counterparty relationships, and market structure.
- A front-row seat as equities, commodities, and crypto converge on-chain.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes.
We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios.
You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity.
What You’ll Be Doing
Drive product planning and roadmap execution.
Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate.
R
esearch and iterate on risk-control methodologies.
Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility.
B
uild platform-level risk controls.
Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions.
D
rive effective implementation of risk systems.
Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored.
Drive continuous improvement.
Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance.
Stay close to markets and users.
Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly.
Strengthen team methodologies and AI leverage.
Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations..
What We Look For In You
Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios.
An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts.
Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements.
Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews.
Mature cross-functional leadership and project execution capabilities.
Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments.
A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics.
Nice-To-Haves
A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits.
Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment.
Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes.
We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios.
You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity.
What You’ll Be Doing
Drive product planning and roadmap execution.
Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate.
R
esearch and iterate on risk-control methodologies.
Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility.
B
uild platform-level risk controls.
Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions.
D
rive effective implementation of risk systems.
Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored.
Drive continuous improvement.
Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance.
Stay close to markets and users.
Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly.
Strengthen team methodologies and AI leverage.
Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations..
What We Look For In You
Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios.
An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts.
Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements.
Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews.
Mature cross-functional leadership and project execution capabilities.
Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments.
A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics.
Nice-To-Haves
A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits.
Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment.
Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Paris, France
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
À propos du poste
En tant qu'ingénieur·e en IA appliquée au sein de notre équipe Entreprise, votre rôle est de guider certaines des plus grandes entreprises de France vers la frontière de l'IA et de les aider à déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail. Vous deviendrez le·la spécialiste incontournable de la plateforme Claude et le·la conseiller·ère technique de confiance de vos clients, en conseillant leurs équipes d'ingénierie sur l'architecture, la conception d'agents et l'évaluation, et en travaillant avec les dirigeants et les cadres supérieurs qui sponsorisent ces programmes pour démontrer la valeur ajoutée de Claude et les aider à prendre une décision éclairée quant à l'adoption de Claude.
Les transactions avec les entreprises sont différentes. Les cycles d'approvisionnement sont plus longs, davantage de parties prenantes sont impliquées, et la réussite dépend de la capacité à relier le travail technique aux résultats qui importent pour le conseil d'administration. Vous serez tout aussi à l'aise pour conseiller une équipe d'ingénierie sur l'évaluation et l'architecture que pour présenter un dossier de valeur à un CIO ou un CTO, et vous porterez le fil technique à travers chaque étape d'un engagement s'étalant sur plusieurs trimestres.
Une grande partie de ce travail se déroule en français, avec des cadres dirigeants et des équipes d'ingénierie françaises, c'est pourquoi un français natif ou courant est essentiel pour ce poste. Vous travaillerez en étroite collaboration avec les responsables de comptes Entreprise et les architectes IA appliquée pour accompagner chaque client depuis la première conversation, à travers l'évaluation technique, la création de valeur et les achats, jusqu'à la décision de développer sur Claude. Une fois leur décision prise, vous préparerez leur partenaire d'intégration système à assurer la mise en œuvre, en définissant ensemble l'architecture cible et les critères de réussite, et vous resterez proche du client en tant que conseiller·ère technique sur Claude pendant tout le déploiement, tandis que le partenaire se chargera de la construction. En travaillant aux côtés des équipes Produit et Ingénierie d'Anthropic, vous mettrez à profit votre connaissance de la plateforme Claude pour conseiller sur l'évaluation, recommander des architectures répondant aux exigences de sécurité et d'échelle des entreprises, et créer les ressources techniques et commerciales qui aident les grandes organisations à réussir avec Claude.
Responsabilités
Travailler en partenariat avec les responsables de comptes et les architectes en IA appliquée pour accompagner les clients entreprises en France depuis le premier échange jusqu'à la décision d'adopter Claude, en passant par l'évaluation technique, la validation de la valeur et le processus d'achat
Piloter le volet technique de chaque opportunité jusqu'à cette décision, et rester le·la conseiller·ère technique du client sur Claude pendant son déploiement
Préparer les clients et leurs partenaires d'intégration de systèmes à assurer la livraison : convenir de l'architecture cible, définir les critères de réussite, et rester disponible pour conseiller l'équipe de livraison au fur et à mesure de l'avancement de la construction
Guider les clients grandes entreprises vers l'avant-garde de l'IA, en les conseillant sur la manière de déployer Claude dans leurs opérations, leurs produits et leurs méthodes de travail
Aider les équipes d'ingénierie des clients à voir comment elles pourraient développer sur Claude, en couvrant l'architecture, la conception d'agents et l'évaluation, afin qu'elles puissent prendre une décision en toute confiance
Élaborer et présenter le dossier de valeur commerciale de Claude auprès des dirigeants et des cadres supérieurs, en français et en anglais, en associant les capacités techniques à des résultats mesurables tels que les coûts, les revenus, les risques et le délai de mise sur le marché
Guider les clients à travers de longs cycles d'approvisionnement et d'adoption impliquant de multiples parties prenantes, notamment les évaluations techniques, les preuves de concept, les revues de sécurité et d'architecture, jusqu'à la définition d'une feuille de route claire vers la mise en production
Travailler avec les responsables de comptes sur la stratégie de compte, la qualification des opportunités commerciales et les plans d'engagement des dirigeants, et avec les architectes en IA appliquée pour assurer la continuité et le partage du contexte à travers chaque engagement
Organiser des briefings exécutifs, des ateliers techniques et des sessions de formation destinés à la fois aux dirigeants et aux équipes d'ingénierie
Naviguer au sein des exigences de l'entreprise en matière de sécurité, de conformité, de résidence des données et de gouvernance, en collaborant avec les équipes internes d'Anthropic si nécessaire
Identifier les modèles à travers les engagements auprès des entreprises et transmettre les informations aux équipes Produit, Ingénierie et à l'équipe IA appliquée élargie
Se rendre sur les sites des clients en France pour des réunions de direction, des ateliers et l'établissement de relations
Vous conviendrez particulièrement si vous avez
Le français comme langue maternelle ou courant, écrit et parlé, car vous travaillerez au quotidien avec des clients entreprises français, aussi bien au niveau des dirigeants qu'au niveau ingénierie
Plus de 6 ans d'expérience en tant qu'ingénieur·e logiciel, architecte de solutions, ingénieur·e en déploiement avancé ou fondateur·rice technique
Une expérience dans un poste d'avant-vente ou de conseil technique auprès de grandes entreprises, idéalement sur le marché français, y compris la définition du périmètre et la conception de solutions complexes
Une expérience dans la vente basée sur la valeur, ce qui signifie que vous êtes en mesure d'élaborer un dossier commercial, de quantifier l'impact et de le présenter à des décideurs de haut niveau
L'aisance à présenter et à établir des relations avec des parties prenantes de niveau C et VP
Une expérience dans la prise en charge de la réussite technique des transactions avec les entreprises : évaluations, preuves de concept et audits techniques préalables avec les équipes d'ingénierie, de sécurité, juridique et des achats
Une expérience en production avec des applications propulsées par des LLM, incluant le prompting, l'ingénierie du contexte, les architectures d'agents, les cadres d'évaluation et le déploiement à grande échelle
Une expérience pratique en ingénierie, incluant la conception et le déploiement d'applications en production, afin de pouvoir échanger avec les responsables techniques et leurs équipes
Une familiarité avec les exigences en matière de sécurité, de conformité et d'architecture d'entreprise, et une expérience dans la résolution de ces problématiques avec les équipes clientes
La capacité à expliquer clairement des concepts complexes d'IA à des publics techniques et dirigeants, et à naviguer entre des secteurs tels que les services financiers, les soins de santé, le commerce de détail et l'industrie manufacturière
Un intérêt marqué pour la mise en place de technologies puissantes sûres et bénéfiques
About the role
As an Applied AI Engineer on our Enterprise team, your role is to guide some of France's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude.
Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in French, with French executives and engineering teams, so native or fluent French is essential for the role.
You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude.
Responsibilities
Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in France from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude
Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy
Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses
Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working
Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision
Build and present the business value case for Claude with C-level and senior executives, in French and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market
Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production
Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement
Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences
Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed
Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team
Travel to customer sites across France for executive meetings, workshops, and relationship building
You may be a good fit if you have
Native or fluent French, written and spoken, as you will work day to day with French enterprise customers at both executive and engineering level
6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder
Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the French market, including scoping and designing complex solutions
Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers
Comfort presenting to, and building relationships with, C-level and VP-level stakeholders
Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams
Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams
Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams
The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing
A passion for making powerful technology safe and beneficial
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€220.000
—
€235.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb
SENIOR RUST ENGINEER - HIGH FREQUENCY TRADING (HFT)
ABOUT KEYROCK
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
MISSION STATEMENT
We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage.
As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones.
JOB DESCRIPTION
- Design, develop, and optimise low-latency, mission-critical trading systems
- Own key trading stack components end-to-end — from architecture through to production operation
- Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience
- Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence
- Troubleshoot complex production issues across exchange connectivity, execution, and market data handling
- Drive engineering standards through technical leadership, code reviews, and mentoring
- Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling
- Contribute to functional, component, and production-readiness testing for critical trading components
BACKGROUND AND EXPERIENCE
TECHNICAL SKILLS
- Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage
- Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk
- Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting
- Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling
- Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds
- Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK)
- Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation
- Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems
SENIORITY & COMPETENCIES
- Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise.
- Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions.
- Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes.
- Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions.
- Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you.
- Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation.
- Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team.
OUR RECRUITMENT PHILOSOPHY
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes.
OUR OFFER
- A competitive salary package
- Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
- The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
https://keyrock.com/careers/
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
The Asset & Earn Team 2 is responsible for building and scaling next-generation earn and lending solutions at one of the world's largest crypto exchanges. As a developer on this team, you will work on Simple Earn, Flash Earn (including Jumpstart), Loan products, and Stablecoin Yield features — powering millions of users' passive income journeys in the crypto ecosystem.
What You'll Be Doing:
Design and develop high-performance, high-availability backend services for Simple Earn, Flash Earn, and Loan products
Build and maintain the Jumpstart subscription and allocation system for new token launches
Design and implement backend systems for stablecoin yield distribution and settlement
Work closely with Product, Design, Risk, and Quant teams to deliver innovative earn and lending features
Participate in on-call production support and incident response to ensure platform stability
What We Look For In You:
Proficient in AI-assisted development tools such as Codex and Claude Code — mandatory requirement to boost engineering productivity and iteration speed
Minimum 3 years of backend development experience in financial or related industries
Experience in Microservice/API development with Java / SpringBoot / SpringCloud
Strong understanding of multi-threading, concurrency control, and distributed system design, with experience in high-concurrency, high-availability, and high-performance systems
Familiarity with mainstream messaging frameworks such as Kafka and caching solutions like Redis
Experience with Kubernetes (K8s) for container orchestration and deployment
Solid experience with relational databases (MySQL or equivalent)
Comfortable in a cloud-based Linux environment with production support capability
Basic understanding of finance concepts, particularly earn/deposit, lending/loan, and yield products
Fluency in English and Mandarin
Business Domain Experience (At least one of the following three is required):
Earn & Loan: Hands-on experience building earn or loan products, with understanding of interest accrual, risk control, and liquidity management
Stablecoin Yield: Familiarity with stablecoin mechanics (USDT, USDC) and experience developing yield distribution or settlement systems
Subscription & Allocation Systems: Experience building token launch, quota allocation, or subscription systems (e.g. Jumpstart-style products)
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
УдалённоleadUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
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УдалённоleadUnited Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
ГибридseniorМосква
СтажёрNew York, New York, United States; Norwalk, Connecticut, United States
Hong Kong, Hong Kong SAR
УдалённоRemote, EU
Удалённоjunior0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk; Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment
Hong Kong, Hong Kong SAR
Singapore, Singapore
Ho Chi Minh City
Paris, France
seniorNew Delhi
seniorBrussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb; This role is open to candidates located in European time zones
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
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