C Trading Developer Jobs

**English version below** Doit être local à Montréal Vous souhaitez travailler dans le domaine de la technologie au sein d'une banque d'investissement? Nous recherchons un Développeur Python expérimenté , doté d’une solide expérience des systèmes distribués à grande échelle et de Kubernetes , pour rejoindre une équipe dynamique chez l’un de nos clients. Nous offrons l’opportunité de relever des défis techniques stimulants tels que : La conception et l’exploitation de plateformes distribuées à faible latence pour le traitement de grands volumes de données de trading en temps réel. La mise en place de capacités élastiques permettant de gérer d’importants volumes de données, y compris les pics de charge. Le développement et la modernisation d’outils destinés à la gestion des ressources cloud, afin d’accélérer la mise sur le marché ( time-to-market ) de nouvelles fonctionnalités. À propos de mtrois : Depuis 2010, mtrois aide ses clients à résoudre leurs défis commerciaux et technologiques. Nous sommes un cabinet de conseil en technologie et en affaires, avec une main-d'œuvre mondiale qui réalise des projets IT et business majeurs pour certaines des plus grandes institutions financières au monde. Services principaux : Conseil et accompagnement Services managés Programme Alumni Graduate Programme Alumni Pro Nous avons une présence mondiale et sommes experts dans la fourniture de services de qualité exceptionnelle à notre clientèle, couvrant les domaines suivants : Risque, Réglementation & Conformité ; Produits fournisseurs ; Support applicatif ; Développement applicatif ; Cybersécurité & Sécurité de l'information ; Science des données et DevOps. Notre programme Expert offre aux professionnels expérimentés un accès à des postes de haut niveau dans les secteurs de la technologie, de la finance, de l’aviation et de l’assurance. Rejoignez-nous pour travailler sur des projets technologiques de pointe, allant des plateformes de trading internationales aux applications c

Job Title: Project Manager - Banking About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. We’re looking for a KDB+ Developer with strong experience in building high-performance analytics and data solutions for trading environments. Key Skills & Experience: 🔹 Strong hands-on experience with KDB+ and Q 🔹 Experience with KDB+ APIs and large-scale datasets 🔹 Strong understanding of Linux 🔹 Experience developing analytics and reporting solutions for Quants, Sales & Trading desks 🔹 Knowledge of market data, trade data and trading systems 🔹 Experience building high-performance modules, services and APIs 🔹 Understanding of data quality, monitoring and performance optimization 🔹 Exposure to Python, C or R is an adv

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets, including spot and derivatives. We are looking for an experienced Systematic Trader to develop, operate, and continuously improve systematic strategies in fast-moving electronic markets. Responsibilities: Operate and manage systematic trading strategies and frameworks across prediction markets, equities, and crypto, including spot, perpetuals, futures, options, and other derivatives. Monitor live trading, P&L, positions, risk, and execution performance. Research, backtest, deploy, and improve systematic trading strategies. Identify new trading opportunities across markets, products, exchanges, and venues. Analyze strategy and execution performance, including fills, slippage, adverse selection, transaction costs, and latency. Optimize strategy parameters, position sizing, execution, and risk controls. Work closely with quantitative developers and researchers to implement new strategies and improve trading systems. Participate in local trading coverage and rotating weekend coverage. Requirements: 4+ years of experience in systematic, quantitative, electronic, proprietary, or market-making trading. Demonstrated experience developing, operating, or improving profitable trading strategies. Strong understanding of market microstructure, execution, and risk management. Strong Python programming and quantitative data-analysis skills. Experience working with large market and trading datasets; SQL experience is preferred. Strong analytical and problem-solving skills, with the ability to take ownership in fast-moving markets. Master's or PhD degree in a quantitative discipline, or equivalent relevant quantitative experience. Preferred: Experience trading in one or m

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets, including spot and derivatives. We are looking for an experienced Systematic Trader to develop, operate, and continuously improve systematic strategies in fast-moving electronic markets. Responsibilities: Operate and manage systematic trading strategies and frameworks across prediction markets, equities, and crypto, including spot, perpetuals, futures, options, and other derivatives. Monitor live trading, P&L, positions, risk, and execution performance. Research, backtest, deploy, and improve systematic trading strategies. Identify new trading opportunities across markets, products, exchanges, and venues. Analyze strategy and execution performance, including fills, slippage, adverse selection, transaction costs, and latency. Optimize strategy parameters, position sizing, execution, and risk controls. Work closely with quantitative developers and researchers to implement new strategies and improve trading systems. Participate in local trading coverage and rotating weekend coverage. Requirements: 4+ years of experience in systematic, quantitative, electronic, proprietary, or market-making trading. Demonstrated experience developing, operating, or improving profitable trading strategies. Strong understanding of market microstructure, execution, and risk management. Strong Python programming and quantitative data-analysis skills. Experience working with large market and trading datasets; SQL experience is preferred. Strong analytical and problem-solving skills, with the ability to take ownership in fast-moving markets. Master's or PhD degree in a quantitative discipline, or equivalent relevant quantitative experience. Preferred: Experience trading in one or m

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets, including spot and derivatives. We are looking for an experienced Systematic Trader to develop, operate, and continuously improve systematic strategies in fast-moving electronic markets. Responsibilities: Operate and manage systematic trading strategies and frameworks across prediction markets, equities, and crypto, including spot, perpetuals, futures, options, and other derivatives. Monitor live trading, P&L, positions, risk, and execution performance. Research, backtest, deploy, and improve systematic trading strategies. Identify new trading opportunities across markets, products, exchanges, and venues. Analyze strategy and execution performance, including fills, slippage, adverse selection, transaction costs, and latency. Optimize strategy parameters, position sizing, execution, and risk controls. Work closely with quantitative developers and researchers to implement new strategies and improve trading systems. Participate in local trading coverage and rotating weekend coverage. Requirements: 4+ years of experience in systematic, quantitative, electronic, proprietary, or market-making trading. Demonstrated experience developing, operating, or improving profitable trading strategies. Strong understanding of market microstructure, execution, and risk management. Strong Python programming and quantitative data-analysis skills. Experience working with large market and trading datasets; SQL experience is preferred. Strong analytical and problem-solving skills, with the ability to take ownership in fast-moving markets. Master's or PhD degree in a quantitative discipline, or equivalent relevant quantitative experience. Preferred: Experience trading in one or m

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quant Analyst - Risk for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a Quant Analyst - Risk you will be responsible Work as a team with senior traders to operate and implement/improve our automated trading strategies. Analysing production trades and developing ideas to improve our trading strategies. Implement monitoring tools which highlight potential issues in the production strategies. Write comprehensive and scalable scripts in both C++ and python analysing production strategies for risk attribution, performance break-ups along various buckets and so on. Build ‘cool’ scalable post-trade systems analysing multitude of statistics across all production strategies. Implementing tools for analysing Market Data centrally across various exchanges. Managing deployments and release cycle, with working along with a senior trader. Requirements : Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science from top-ranked universities 3+ years of experience in Python, Shell/Bash scripting. Basic knowledge of Linux and shell command-line tools Basic programming and scripting (Python/Shell) skills Strong problem-solving, and analytical skills Excellent communication skills Have a strong work ethics Mentorship experience in guiding junior developers. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great idea

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu

Quant Library Developer, Macro Technology. A Career with Point72’s TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business. Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability. Build real-time and historical analytics services supporting pricing, risk, and global market data workflows. Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases. Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics. Contribute to API design, data modeling, and system architecture for shared analytics platforms. Integrate analytics services with batch and streaming data pipelines across research and trading workflows. Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities. Contribute to

Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products A Career with Point72’s Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent. What you’ll do Help architect and maintain the infrastructure for Structured Products investing. Leverage internal and external partners to help with data infrastructure builds. Integrate alternative and traditional data sets to help streamline our analytic processes. Use Artificial Intelligence (AI) to enhance and optimize processes. Work with risk parameters based on High Yield Equivalent and quantitative processes within market-standard analytics platforms such as Bloomberg. Manage and assist in special projects within the CLO market. What’s required 3+ years at a sell-side firm in a trading or quantitative research role, or as a quant at a buy-side credit or mortgage-focused fund. Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics. Advanced knowledge of a programming language such as Python, C++, or SQL. Advanced skills in Excel and cashflow modeling. Extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employ

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. De

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus Team player and strong communicator

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 Onchain Data Team The Onchain Data team builds the core data and technology infrastructure behind OKX Web3. We connect to diverse blockchain networks and collect, process, govern, interpret, and serve large-scale onchain data, delivering accurate, real-time, and reliable capabilities to Wallet, DEX, Explorer, Risk, CeFi, and AI products. Our scope includes, but is not limited to: Multi-chain data ingestion, parsing, computation, and unified data models; Data capabilities for onchain assets, transactions, addresses, tokens, contracts, and projects; Blockchain explorers, the Project Marketplace, Onchain Data APIs, bots, and agents; Labels, risk detection, risk-control data, and security investigation capabilities; DEX trending rankings, token scoring, and other onchain data products; Global multi-region deployment, high-availability architecture, performance optimization, and system reliability; Deep application of AI in engineering, data analysis, risk investigation, and intelligent operations. You will work on challenges involving heterogeneous chains, large-scale data, real-time computation, high concu

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 About the Liquidity Platform The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics. The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business. About the Options Market Making Team The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls. The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, dev

Software Engineer Build technology where every nanosecond matters. At Graviton, software isn't just a tool that supports trading. It is the infrastructure behind every research breakthrough, every trading decision and every competitive advantage. As a Software Engineer , you'll work on systems where performance, reliability and precision matter at an extraordinary scale. You'll partner closely with software engineers and quantitative researchers to build technology that processes enormous volumes of market data, powers quantitative research and supports live trading. You'll take on problems that don't have obvious answers — from designing high-performance systems and distributed infrastructure to eliminating bottlenecks measured in microseconds and building tools that make our researchers and engineers faster. Your work will go into production, be measured against real-world performance and have a direct impact on how our trading systems operate. If you enjoy solving hard engineering problems, understanding systems at a deep level and pushing technology to its limits, you'll feel right at home. What You'll Work On You'll work across the engineering stack that powers our quantitative research and trading platforms. Depending on your team, your work may include: Designing and building high-performance, low-latency systems in modern C++. Building distributed systems that process and analyze massive volumes of market data . Designing systems where latency, throughput and reliability directly influence trading performance . Working on Linux systems, networking, concurrency and multithreaded applications. Profiling systems, identifying bottlenecks and optimizing performance at the hardware and software level. Building robust infrastructure that supports quantitative research and live trading. Debugging complex production systems and solving problems where correctness and reliability are critical. Designing internal platforms and developer tools that accelerate research an

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 We are looking for a Senior Staff Mobile Engineer to join our Mobile Infrastructure team, the foundational engineering group that powers the OKX app for millions of daily active users. This is not a feature delivery role. You will work at the platform layer, building the tools, frameworks, and systems that enable product engineering teams to move faster, ship higher quality code, and scale reliably. You are deeply native in either iOS or Android, and confident contributing across both platforms leveraging AI coding tools to move fluidly between stacks. You care about engineering quality at the foundation level: architecture, performance, toolchain, and developer experience. What You'll Be Doing Build and maintain mobile infrastructure, tooling, and shared frameworks that improve engineering efficiency and developer experience across the organisation. Analyse and optimise application code at the UI and infrastructure layer, includi