Trading Analytics Developer Jobs

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. This Winternship will occur the week of January 4th-8th and will provide an excellent educational opportunity for you to participate in a challenging project and develop your knowledge of financial markets. *Housing support will be provided Winterns will have the opportunity to: Engage in an abbreviated version of our analyst training program Attend a series of presentations from Portfolio Managers about their investment areas, their risk analysis and general trends in their areas of focus Attend a series of presentations given by members of our research, back office, legal and technology and software departments, to better understand the many facets of a buy side financial services firm Perform a group research project under direction of a senior member of our investment team, with support of investment analysts and Bracebridge resources Required Skills and Credentials: Sophomores with top academic credentials Keen interest in finance and a desire to learn about financial markets and hedge funds Strong math, analytical and/or programming skills Curiosity about international capital markets, trading strategies, and risk

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working c

The exchange team develops and maintain a cutting-edge trading platform. With a global presence across APAC, EMEA and North America, the team has since grown with the goal to provide a seamless and secure trading experience for our clients. We are looking for a quantitative Risk Manager to join our global exchange team, with a primary focus on the models: you will own the design, calibration, and validation of the margin, pricing, and liquidation frameworks that our FCM and clearing businesses run on. Alongside that, you will take part in the daily risk monitoring, escalation, and reporting that the whole team carries. You will be contributing to the building of a fast-growth trading platform with innovative, multi-asset products bridging traditional finance (TradFi) and digital markets. For all roles, we look for people who are passionate about financial market innovation, equipped with energy, act as owners, and have exemplary work ethics. Responsibilities Own margin methodology across the group, including SPAN, VaR, and portfolio-margining approaches, and benchmark our models against those used by the clearing houses and exchanges we face. Develop, implement, and validate derivatives pricing models for new and existing products across various asset classes (e.g., equities, commodities, futures, perpetuals, options). Backtest margin coverage and document model performance, assumptions, and limitations to a standard that withstands regulatory and audit review. Build and maintain the data pipelines and automated reporting behind the risk models, working in SQL, Python, and relational databases. Monitor and analyze real-time and historical portfolio risk, including exposure, leverage, margin utilization, concentration, and liquidation. Design optimal automated liquidation logic and algorithms to balance market risk with market impact during extreme volatility. Perform scenario analysis and stress testi

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the team The Investment Research Team is at the core of every investment product designed at Wealthsimple. Our team combines deep market expertise with strategic vision, developing best-in-class investment strategies that serve our growing client base. We analyze financial products and securities with a data-driven approach, ensuring our offerings meet client needs while aligning with our mission to empower people with financial freedom. What you'll do Conduct thorough daily order reviews for algorithm-generated trades across managed portfolios to verify accuracy and ensure abnormal order resolution prior to submission to the trade desk. Perform systematic, regular reviews of managed accounts to proactively identify and resolve operational bottlenecks, workflow friction, and systemic trading issues. Apply a disciplined, process-oriented, and operational mindset to execute daily portfolio management and trading support tasks reliably and efficiently. Collaborate closely with internal trading desks, investment operations, and product teams to streamline trade execution workflows and enhance portfolio tracking capabilities. Skills you bring 1-2 years of professional experience in portfolio operations, trade execution, or financial analysis within a modern financial institution or fintech setting. Strong analytical thinking and quantitative

Who we are Graviton Research Capital is a privately funded quantitative trading firm. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Role Overview We are looking for a Program Manager who thrives at the intersection of rigorous engineering and predictable delivery. You will not just "manage tasks" — you will orchestrate the development lifecycle for mission-critical systems. Your goal is to ensure that our elite engineering teams can focus on high-performance code while you own the execution strategy, dependency mapping, and release discipline. Key Responsibilities Lead Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) tailored for deep-tech engineering teams. Transform high-level trading requirements into granular, executable backlogs. Own capacity planning and burn-down metrics to provide high-visibility delivery timelines. Navigate the complex interplay between engineering teams (e.g., Connectivity, Core Infrastructure, Simulation) to prevent bottlenecks. Build and maintain advanced Jira dashboards, automated roadmaps, and Confluence documentation that serve as the "single source of truth" for stakeholders. Proactively identify technical debt, architectural blockers, or resource gaps that threaten release stability. Continuously refine Agile methodologies to suit low-latency, performance-sensitive development cycles (where "Definition of Done" includes rigorous performance benchmarking). Eligibility & Required Skills 5+ years of experience as a TPM, Program Manager, or Scrum Lead in a product-engineering environment (HFT, FinTech, Networking, or Kernels/Systems). A strong grasp of the software development lifecycle for high-performance systems. While you won't write code, you must understand concepts li

Role: Application Reliability Engineer Location: Gurgaon Who we are Graviton Research Capital 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 diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Key Responsibilities and Deliverables The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence. As an Application Reliability Engineer, you will be responsible for: Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime. Monitor trading systems and infrastructure., Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability. Serve as the first line of defense for trading operations. Proactively identify, address recurring issues, and build automation to reduce manual intervention. Improve observability by enhancing monitoring, logging, and alerting systems. Develop and maintain operational runbooks and SLO/SLA metrics. Eligibility and Required Skills Possess a degree in a highly analytical field, such as Engineering, or Computer Science 2-5 years of experience in Python, Shell/Bash scripting. Experience with Linux and shell/bash online tools. Hands-on experience with databases (SQL, NoSQL) Strong problem-solving and analytical skills Excellent communication skills Ability to remain calm and analytical under production pressure Good to have: Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.) Familiarity with distributed messaging (Kafka) and caching systems (Red

ROLE We're seeking an investment analyst to join a discretionary macro team focused on liquid credit. RESPONSIBILITIES Conduct rigorous fundamental bottom up credit research to identify attractive long/short investment opportunities. This will entail credit analysis, financial modelling, documentation reviews, etc. Analyze businesses and capital structures (loans, bonds, CDS) across Distressed, High Yield, and High Grade credit markets and develop credit opinions. Synthesize market information and develop thematic trade ideas across sectors. Develop differentiated investment views from consensus and push conviction or contrarian viewpoints. Monitor existing positions, including news-flow, fundamental developments, and supply. Engage and maintain external relationships (sell-side research, syndicate, company management, ratings agencies) to develop views on issuers. REQUIREMENTS 3-6 years of experience in credit research or trading on the buy-side or sell-side, ideally as a desk analyst or trader. Experience building full three statement models (forward/backward), including all key KPIs. Direct experience reviewing credit agreements and bond indentures in order to understand corporate balance sheet flexibility. Prior industry specific focus and experience preferred. Entrepreneurial mindset. Commitment to the highest ethical standards. About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws Responsibilities Support the Product Manager in day-to-day work: requirement gathering, documentation, and follow-up on feature delivery Assist with project management: track progress across design, engineering and QA, organize reviews, and keep stakeholders aligned Collect and analyze user feedback and community/on-chain signals around meme products, and turn insights into actionable product suggestions Help maintain PRDs, competitive analysis, product documentation and internal reporting Requirements Genuine meme e

Business Analyst – OpenLink Location: Houston, Texas | Practice Area: Business Consulting | Type: Permanent Deliver impactful energy trading solutions by bridging business needs and OpenLink technology The Role As a Business Analyst within Capco’s Business Consulting practice, you will support clients in the energy sector by translating business requirements into effective OpenLink solutions. You will work closely with stakeholders and technology teams to deliver high-quality consulting outcomes, supporting system implementations and transformation initiatives across trading environments. What You’ll Do Facilitate client workshops, interviews, and analysis to gather and document requirements Develop business requirements, functional specifications, and process documentation Analyze current and future state processes to identify gaps and improvement opportunities Support testing, training, and go-live activities to ensure successful delivery Produce clear consulting deliverables including reports, presentations, and proposals What We’re Looking For Experience as a Business Analyst with OpenLink implementation and configuration Strong skills in requirements gathering, process mapping, and stakeholder engagement Ability to translate business needs into functional and technical specifications Experience supporting testing cycles, user training, and production rollout Bachelor’s degree in a relevant field such as Business, Finance, or Technology Bonus Points For Experience within a management consulting environment Background in energy, utilities, or trading domains Experience contributing to business cases, proposals, or reusable consulting assets Familiarity with project delivery methodologies and lifecycle management Basic scripting or technical understanding to support system analysis Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous

JOB RESPONSIBILITIES: A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power. We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required. Key responsibilities may include: Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application. Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests. Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities. DESIRABLE CANDIDATES: Master’s or PhD in machine learning, computer science, statistics, or related fields. Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs. Prior research experience utilizing machine learning over large, possibly noisy, data sets. Strong analytical and quantitative skills, and a detail-oriented mindset. Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow. Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow). Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly coll

JOB RESPONSIBILITIES A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact. You will gain exposure to a variety of activities, which may include: Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application. Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. Analyzing very large data sets to extract features useful for predictive models. Providing research assistance to the team. Helping improve the team’s research infrastructure. DESIRABLE CANDIDATES Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines. Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets. Strong analytical and quantitative skills, and detail-oriented mindset. Proficient in Python or C++, and Linux environment. Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment. Willing to take ownership of his/her work, working both independently and within a collaborative team. Prior experience in the financial services industry is not required. Commitment to the highest ethical standards. The annual base salary range is $120000.00-$180000.00&n

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/Responsibilities: We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation. Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features. Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry. Requirements: PhD or PhD candidate in machine learning, computer science, statistics, or a related field Experience with sequential modeling and time

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 Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A 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 Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A 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 Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.