Quantitative Trader Developer Jobs

Role: Point72 is looking for a Quantitative Developer to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. Responsibilities : Partner with researchers to release high-quality production code Integrate AI into written content creation, internal client service, and team operations Develop generic frameworks to build flow datasets across equities, credit, and macro Troubleshoot and resolve production issues Requirements: Undergraduate degree or higher in a technical field Strong programming skills in Python Strong orientation towards team success and desire to mentor teammates Passion for technology and markets Strong written and verbal communication skills Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment Commitment to the highest ethical standards

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: Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact. Responsibilities: Design and develop software for strategy research and trading. Build and improve tools for data acquisition, processing, and visualization. Work on the execution/order management system, live dashboards, and P&L reconciliation tools. Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components. Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues. Collaborate with the portfolio manager, quant researchers, and traders. Requirements: Undergraduate or graduate degree in Computer Science. 2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role. Prior experience with execution/order management systems, real-time data servers, and visualization is a plus. Solid understanding of Linux OS—system components, process management, shell scripting. Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management. Knowledge of SQL, JavaScript, Apache airflow. Strong communication skills. Willingness to take ownership of his/her work. Commitment to the highest ethical standards.

Role: An established quantitative portfolio management team at Point72 is looking for an experienced trader to oversee the team’s trading process, contribute to its core business, and develop new areas of expertise. This is an opportunity for candidates with expertise in systematic trading to take on a leading role on the front lines of the team’s investment process. Responsibilities: Oversight of international equities and macro systematic trading during European hours and provide backup coverage during US morning. Execute trades in rates instruments across global OTC markets. Build relationships and negotiate trades with liquidity partners to achieve best execution. Monitor and support portfolio construction, execution, connectivity, and related processes. Help conduct post-trading execution and transaction cost analysis and suggest ways to improve. Support the international implementation of internally developed algorithms and help monitor them for any trading issues. Requirements: 2+ years of work experience in algorithmic trading and exposure to systematic macro strategies, ideally with experience in futures, fixed income, FX, and exchange-traded global equities. Undergraduate or higher degree in computer science, statistics, applied mathematics, engineering, or other quantitative discipline. Familiarity with SQL and Python. Familiarity with vendor trading platforms including Tradeweb and Bloomberg. Detail-oriented and vigilant about potential operational risks. Strong quantitative skills and sensitivity to numbers. Commitment to the highest ethical standards.

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: The Trade Monitor will work closely with the firm’s senior management on a variety of tasks, including: Start and supervise automated trading systems for multiple exchanges and venues Understand how high frequency trading strategies work and make changes in strategy parameters during live trading based on market conditions Build, test and deploy trading monitoring software's to analyze strategy metrics in real time Work closely with Quantitative researchers and Software Developers while testing or deploying updates in GUI, trading infrastructure and strategies Assess live trading for risk and technical issues and quickly respond to unusual behaviors or market conditions Qualifications: Must-Have Requirements Automated Trading Systems/Trading experience Trading Operations Market Monitoring Live Trade Supervision Trading Infrastructure Risk Management (Trading Context) Strategy Parameter Tuning Microsoft Office Proficiency Preferred Technical Skills Linux Basics Python Trading GUI Handling Ideal candidates: Flexible to work in rotational shift Possess a reliable and disciplined approach to work Strong attention to detail Excellent communication skills and fluency in English for business purposes Strong experience of using end user computing tools like Microsoft office and other equivalent products Bachelor's degree with professional experience in a related role at a stock broking firm Benefits: NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organization where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest employees to wor

We are seeking a highly skilled FPGA Engineer to join our expanding High-Frequency Trading team. In this role, you will be at the forefront of financial technology, working on cutting-edge hardware solutions that power our ultra-low-latency trading systems. As a member of our expert team, you will be responsible for designing, implementing, and optimizing FPGA-based systems to improve trading performance, reduce latency, and increase throughput. This is a unique opportunity to combine your expertise in hardware engineering with the fast-paced world of financial markets. You will play a critical role in developing the infrastructure that underpins our competitive advantage, working collaboratively with software engineers, quantitative researchers, and traders to deliver high-performance, reliable solutions. What You’ll Be Doing: Design, develop, and optimize FPGA-based solutions for ultra-low-latency trading systems. Work closely with software developers to integrate FPGA solutions into broader system architectures. Implement hardware-accelerated solutions for protocol parsing, order entry, and market data processing. Perform timing analysis, timing closures, resource optimization, and latency measurements to ensure peak performance. Collaborate with traders and researchers to identify opportunities. Monitor and troubleshoot system performance in a live trading environment. What We Look For In You: Bachelor’s or Master’s degree in Electrical Engineering or related field. Proficiency in Verilog/SystemVerilog. Experience with FPGA design tools (Xilinx Vivado or Altera Quartus). Experience with FPGA debugging tools (ILA, SignalTap,Chipscope). Experience with Simulation tools (e.g Questa/ModelSim). Nice-to-have: Programming and Scripting skills in tcl/C++/Python is a bonus. Experience with peripheral integration (10G PHY/MAC, PCIe). Experience with custom network stack implementations (TCP/UDP). Why Should You Join Our Team? Great challenges with fast feedback loop

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: The Trade Monitoring Analyst will work closely with the firm’s senior management on a variety of tasks, including: Start and supervise automated trading systems for multiple exchanges and venues Understand how high frequency trading strategies work and make changes in strategy parameters during live trading based on market conditions Build, test and deploy trading monitoring software's to analyze strategy metrics in real time Work closely with Quantitative researchers and Software Developers while testing or deploying updates in GUI, trading infrastructure and strategies Assess live trading for risk and technical issues and quickly respond to unusual behaviors or market conditions Qualifications: Must-Have Requirements Automated Trading Systems/Trading experience Trading Operations Market Monitoring Live Trade Supervision Trading Infrastructure Risk Management (Trading Context) Strategy Parameter Tuning Microsoft Office Proficiency Preferred Technical Skills Linux Basics Python Trading GUI Handling Ideal candidates: Flexible to work in rotational shift Possess a reliable and disciplined approach to work Strong attention to detail Excellent communication skills and fluency in English for business purposes Strong experience of using end user computing tools like Microsoft office and other equivalent products Bachelor's degree with professional experience in a related role at a stock broking firm Benefits: NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organization where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest emplo

Given heightened expectations from regulators and a goal to build a strong and consistent global control environment, Citi continues to enhance its business governance framework and has created the Enterprise Data group. Enterprise Data is a critical component of Citi’s first line of defense for wholesale and counterparty credit risk management and works with Independent Risk teams to ensure best-in-class risk and controls, as well as client responsiveness. Key responsibilities of the group include credit analysis, documentation, risk identification, exposure monitoring and stress testing. Enterprise Data coordinates with credit management groups across institutional client businesses to ensure full alignment on business and regulatory goals, as well as consistency and best practices. The Counterparty Credit Risk (CCR) project execution team within Enterprise Data is responsible for building tools to: Provide in-depth quantitative or qualitative analysis to solve business problems and develop new, innovative solutions Build tools to help measure, monitor and control counterparty risk for institutional clients and Portfolios and businesses, with a focus on counter-party and collateral risk to ensure the risks are being properly measured and controlled in accordance with the Firm’s risk policies. Responsibilities: As a Product Developer working in CCR project team, individual will be expected to Lead strategic BAU and Regulatory projects primarily impacting Counterparty Credit Risk exposure measures for traded product markets business Develop and enhance tools for the measurement, monitoring and reporting of counterparty exposure including Stress testing - Net Stressed Exposure (NSE), Potential Future Exposure (PFE), Settlement Risk, Intraday risk and participate in project management of strategic risk infrastructure development.</

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 Help design, develop, and evolve a Python-based analytics platform used across our macro business. Shape Python APIs and user-facing interfaces that provide access to pricing, calibration, curve construction, scenario, valuation, and risk analytics across macro products and related derivatives. Design and deliver robust service interfaces and APIs that connect users, applications, and downstream systems to production analytics capabilities. Build and maintain analytics workflows, ensuring traders, quantitative researchers, and risk users can access analytics through practical, reliable, and well-designed spreadsheet interfaces. Work closely with quantitative researchers, traders, risk users, and technology partners to understand workflows, translate requirements into clean platform capabilities, and improve how users interact with analytics. Partner with C++ analytics engineers and quantitative developers to expose production analytics through stable Python API

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 • Lead the design, development, and evolution of a production C++ analytics library used across the our macro business • Build and maintain pricing, calibration, curve construction, scenario, valuation, and risk analytics for macro products and related derivatives • Extend the existing C++ analytics library and deliver major new components that improve architecture, performance, consistency, and long-term extensibility • Translate quantitative models and analytical requirements into robust, high-performance, and maintainable C++ library components • Partner with quantitative researchers, traders, risk users, and technology partners to understand requirements and deliver robust C++ library capabilities • Provide technical judgment on library design, architecture, performance, interface design, and maintainability • Contribute to releases, production support, and performance improvements for production analytics •

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Technology is central to AQR’s success. As a Software Engineer in Portfolio Implementation , you will work on mission-critical systems that turn investment ideas into reality. Partnering closely with researchers and portfolio managers, you will design and build proprietary tools that support quantitative strategy research and systematic investing at scale. Your Role : As a Software Engineer in Portfolio Implementation , you will design, build, and extend systems that sit at the core of AQR’s investment process, including: Portfolio Implementation platforms that consume research outputs, perform constrained optimizations, and generate orders Cloud-based microservices engineered to run reliably and efficiently at scale Participate in architectural design discussions for high-performance, high-volume, highly available systems, gaining experience with trade-offs across performance, flexibility, and maintainability Bespoke technology solutions tailored to specific asset classes and evolving research needs Collaboration with a&nbsp

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

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets . We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes. Responsibilities: Monitor live trading systems, strategies, orders, positions, P&L, and risk. Act as the first line of support for trading, execution, exchange connectivity, and production issues. Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions. Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues. Support strategy deployments, system releases, testing, and production changes. Monitor exchange and market events, outages, connectivity issues, and other operational risks. Analyze trading and operational metrics to identify issues and improve processes. Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations. Maintain operational procedures and controls for production trading. Participate in local trading coverage and rotating weekend coverage. Requirements: 3+ years of experience in electronic trading, trade support, trading operations, production support, or a related role. Strong understanding of electronic trading, order lifecycle, positions, P&L, and risk. Ability to troubleshoot issues calmly and effectively in a fast-moving production environment. Strong Python or scripting skills; SQL experience is preferred. Experience working with large trading or market datasets. Strong analytical, communication,

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets . We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes. Responsibilities: Monitor live trading systems, strategies, orders, positions, P&L, and risk. Act as the first line of support for trading, execution, exchange connectivity, and production issues. Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions. Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues. Support strategy deployments, system releases, testing, and production changes. Monitor exchange and market events, outages, connectivity issues, and other operational risks. Analyze trading and operational metrics to identify issues and improve processes. Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations. Maintain operational procedures and controls for production trading. Participate in local trading coverage and rotating weekend coverage. Requirements: 3+ years of experience in electronic trading, trade support, trading operations, production support, or a related role. Strong understanding of electronic trading, order lifecycle, positions, P&L, and risk. Ability to troubleshoot issues calmly and effectively in a fast-moving production environment. Strong Python or scripting skills; SQL experience is preferred. Experience working with large trading or market datasets. Strong analytical, communication,

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets . We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes. Responsibilities: Monitor live trading systems, strategies, orders, positions, P&L, and risk. Act as the first line of support for trading, execution, exchange connectivity, and production issues. Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions. Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues. Support strategy deployments, system releases, testing, and production changes. Monitor exchange and market events, outages, connectivity issues, and other operational risks. Analyze trading and operational metrics to identify issues and improve processes. Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations. Maintain operational procedures and controls for production trading. Participate in local trading coverage and rotating weekend coverage. Requirements: 3+ years of experience in electronic trading, trade support, trading operations, production support, or a related role. Strong understanding of electronic trading, order lifecycle, positions, P&L, and risk. Ability to troubleshoot issues calmly and effectively in a fast-moving production environment. Strong Python or scripting skills; SQL experience is preferred. Experience working with large trading or market datasets. Strong analytical, communication,

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 Dynamically managing portfolio risk by evaluating historical and real-time strategy performance. Overseeing automated trade execution and monitoring transaction costs. Supervising a small team of researchers and developers on a daily basis. Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research. Performing research to acquire historical and production data sources needed to build investment models. Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers. Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs. Using quantitative models to value securities. Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets. Developing aspects of successful statistical models, focusing on forecasting and optimization. Expanding trading universe and volume and expanding to other exchanges and products. REQUIREMENTS Advance degree (Masters or Ph.D.) in a computational or analytical field. Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX. Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing,