Quantitative Research Intern

Automate backtesting processes utilizing in-sample and out-of-sample methodologies.Ensure high standards of data quality and organization.Identify opportunities for enhancement and innovation within existing trading systems and processes.Develop and refine algorithms focused on effective risk management.Propose and implement new techniques and technologies to meet strategic objectives.

About Caxton Associates:Established in 1983, Caxton Associates is a premier global trading and investment firm with a strong presence in key cities including New York, London, Bengaluru, Monaco, Singapore, and Dubai. Our mission is to adeptly manage client and proprietary capital through an innovative array of investment products tailored to the unique needs of our investors. Utilizing a multi-portfolio manager approach, we excel in discretionary global macro investing, drawing on our extensive expertise across various asset classes and markets.Key Responsibilities:Collaborate closely with the Portfolio Manager for the effective daily oversight of the Global Macro portfolio, with a primary focus on Rates and FX.Develop, enhance, and maintain analytical tools for trade screening, idea generation, and portfolio management, predominantly utilizing Python.Contribute to the generation of trade ideas across multiple products, including Interest Rates and FX (linear and options).Engage in quantitative and fundamental research projects concerning various market dynamics.Stay informed on macroeconomic trends and significant themes that influence the markets.Qualifications:1-5 years of relevant experience in Trading, Quantitative Analysis, Development, or Research.Proficiency in managing a development environment for large-scale projects.A degree from a top-tier university in Engineering, Mathematics, Computer Science, Quantitative Finance, Economics, or related disciplines.Demonstrated experience in building analytical models using Python and Excel.Strong communication and interpersonal skills, with a self-motivated approach.Ability to work collaboratively in a team-oriented setting.A detail-oriented mindset, inquisitive nature, and a readiness to challenge conventional thinking.Commitment to the highest ethical standards and integrity in all professional dealings.Compensation and Benefits:The base salary for this position ranges from $120,000 to $160,000 annually, with actual compensation determined by various factors including experience, seniority, business needs, and market conditions. Successful candidates will also be eligible for a discretionary bonus.

About Cubist:At Cubist Systematic Strategies, a proud affiliate of Point72, we harness the power of systematic, data-driven trading strategies across diverse liquid asset classes, including equities, futures, and foreign exchange. Our commitment to in-depth research into various market anomalies is supported by our exceptional access to a multitude of publicly available data sources.About Our Team:KEPL is a dynamic and rapidly expanding team within Cubist Systematic Strategies. We specialize in medium-frequency statistical arbitrage strategies characterized by high Sharpe ratios. Our team comprises talented individuals from prestigious universities and leading trading and technology firms. We foster a collaborative and open culture, placing a high value on rigorous research and cutting-edge technology. We are actively exploring new markets and asset classes to further our reach.Role:We are seeking full-time Quantitative Research Analysts and Software Developers to join our expanding team and contribute to various innovative initiatives aimed at growing our business. The ideal candidate should possess a passion for innovation and problem-solving within research and trading contexts. In this role, you will gain comprehensive exposure across all facets of quantitative research and trading, playing a pivotal role in the team's successful growth. Collaboration with team members to enhance our research infrastructure will be key to elevating our research and trading capabilities.Responsibilities:Conduct quantitative research to enhance the team’s investment decision-making process.Develop and implement technologies that enhance research and trading productivity.Oversee the development, maintenance, and optimization of our production trading systems.Expand our systems into new markets and asset classes.

Join usm2 as a skilled Risk Analyst leveraging your quantitative expertise to enhance our risk management strategies. In this crucial role, you will assess potential risks, analyze data trends, and contribute to effective decision-making processes.

OverviewPosition: Lead Quantitative Software EngineerWork Schedule: 5 days a week at NYC headquartersBase Salary: $225,000 - $375,000 annuallyEquity: Attractive initial equity package along with refreshersExperience Requirement: Minimum of 4 yearsAbout Stratos Labs Inc.Stratos Labs Inc. is at the forefront of revolutionizing commodity risk management for the $10 trillion physical economy. By integrating real-time market data with AI-driven exposure modeling and automated trade generation, we empower operators to navigate volatility with precision. Our platform offers instant execution, ongoing monitoring, alerts, and tailored recommendations, transforming complex market risks into a seamless hedging engine that operates continuously.Founded in 2023 by the youngest macro market-maker at Barclays and a seasoned trading systems engineer from Coinbase, we have successfully secured over $20 million in funding from prominent investors like Andreessen Horowitz (a16z), Crucible Capital, Neo, and Crossbeam Venture Partners.Key ResponsibilitiesDesign Tomorrow's Trading Infrastructure: Spearhead the development of our trading system as we expand into new markets and onboard additional clients.Performance-Oriented Engineering: Construct and enhance low-latency distributed systems, ensuring optimal pricing and minimal risk.Team Development: Cultivate a world-class engineering team by hiring, mentoring, and collaborating with founders on complex challenges in financial technology.End-to-End Ownership: Manage critical systems from market data ingestion to order execution and risk monitoring, maintaining our clients' operations around the clock.QualificationsThorough knowledge of data structures, algorithms, design patterns, and system fundamentals.Proven experience in architecting and developing intricate financial systems, particularly in low-latency event-driven distributed systems.Strong sense of ownership and teamwork, with the ability to collaborate effectively to maintain momentum and achieve goals.Ability to thrive in ambiguous situations, adapt quickly, and independently navigate fast-paced environments.Outstanding problem-solving skills, with a knack for breaking down and addressing complex tasks.Preferred SkillsFamiliarity with programming languages and tools such as Golang, Python, C++, gRPC, PostgreSQL, Kafka, and AWS.

At Ripple, we are pioneering a future where value is transferred with the same ease as information today. Our mission is bold and transformative. Through our innovative crypto solutions, we empower financial institutions, businesses, governments, and developers to enhance the global financial system, fostering greater economic fairness and opportunities for people across the world. Here at Ripple, you will have the chance to do the most fulfilling work of your career, all while being supported by a team that truly cares about your growth.If you are eager to make a significant impact and unlock extraordinary career advancement opportunities, we invite you to join us in creating tangible value.THE WORK:Are you an experienced Lead Technical Recruiter who possesses a keen eye for talent and a profound understanding of the quantitative landscape? Ripple is looking for a Lead Technical Recruiter to become a vital part of our progressive team. In this role, you will be instrumental in securing the top talent needed to fuel our rapid growth and drive algorithmic innovation. You will take charge of the entire recruitment process for specialized Quantitative Engineers and Researchers, collaborating closely with hiring managers to attract the brightest mathematical and technical minds.As part of this role, you will engage with a versatile team and play a significant part in shaping the future of Ripple. You will work with our Talent Acquisition team to devise and implement a sophisticated recruitment strategy that aligns with our strategic objectives while ensuring an exceptional candidate experience for high-caliber talent. Join us and help us reshape the global payments landscape through cutting-edge engineering!WHAT YOU’LL DO:Manage the specialized recruitment process from talent sourcing to intricate offer negotiations for Quantitative Engineering and Algorithmic Trading roles.Develop strategic initiatives to meet ambitious hiring goals, collaborating with Engineering Leads to align on technical priorities and performance metrics.Design innovative sourcing strategies to attract elite talent from niche environments such as Kaggle, GitHub, ArXiv, competitive programming forums (Codeforces), and quantitative finance conferences (NeurIPS, ICML).Deliver a premier candidate experience, keeping sophisticated candidates informed and well-prepared for rigorous technical assessments.

Join our dynamic team at Ansatz Capital as a Research Engineer where your expertise will contribute to the development, testing, and implementation of innovative trading strategies. You will play an essential role in designing and constructing the research infrastructure necessary to evaluate trading concepts effectively.We are seeking candidates with a strong foundation in quantitative analysis, who are passionate about uncovering and capitalizing on statistical patterns within financial markets. Proficiency in Python is essential, as you'll be expected to bring your analytical ideas to life through code. Ideal candidates will not only possess intellectual curiosity but also demonstrate the ability to work independently in maintaining and evolving our trading strategies.Your software development prowess will be highly valued, particularly if you can produce efficient, high-performance code and create user-friendly tools that enhance our quantitative research capabilities and broaden our trading strategy coverage.Compensation includes a competitive base salary, performance-based bonuses, and potential participation in long-term incentive programs.

Virtu Financial is a premier financial services firm that utilizes advanced technology to provide liquidity to global markets and innovative, transparent trading solutions for our clients. As a market maker, Virtu contributes significantly to the efficiency of markets worldwide by offering deep liquidity. Our expertise in market structure, comprehensive diversification, and cutting-edge execution technology allows us to present competitive bids and offers across more than 19,000 securities at over 235 venues in 36 countries globally. Our complementary core offerings—market making, client execution services, and trading venues—equip Virtu with a distinct competitive edge in the development and application of innovative tools that enhance operational efficiency and performance throughout the organization. We are continuously advancing our technology, trading strategies, and risk management systems to drive superior, scalable trading platforms. We are seeking an experienced Quantitative Strategist to elevate our technological capabilities in the options trading domain. Quantitative Strategist - Options Desk ROLE OVERVIEW As a Quantitative Strategist on our Options desk, you will work alongside a team of seasoned traders, quants, and developers in a collaborative and collegiate environment that promotes global cross-team engagement. KEY RESPONSIBILITIES Utilize your expertise to design new predictive models, generate actionable signals, and transform them into effective trading strategies. Collaborate with the team to implement and integrate new signals into our existing trading infrastructure. Calibrate strategies across various products and adapt to evolving market conditions. Partner with traders to refine existing processes and systems. Employ observational skills and modern statistical techniques to construct effective predictive models. Research and implement innovative volatility trading strategies and signals. Analyze and optimize current strategies to enhance performance metrics. Develop advanced risk models and frameworks to manage cross-product portfolio risks in volatile market conditions.

Join Our Team as a Quantitative ResearcherEngineers Gate (EG) is at the forefront of quantitative investment, specializing in computer-driven trading across global financial markets. Our team comprises talented researchers, engineers, and finance professionals dedicated to leveraging advanced statistical models to analyze data and uncover predictive signals that yield exceptional investment returns. Each investment team operates with distinct strategies while utilizing our proprietary technology and data platform to enhance alpha research.We are looking for a driven and experienced Quantitative Researcher to become a vital part of one of our systematic equity trading teams. In this position, you will harness the existing research and trading frameworks to create innovative systematic trading strategies throughout their lifecycle—from comprehensive data analysis to idea generation, backtesting, and eventual deployment. The ideal candidate will possess robust programming skills and a passion for in-depth data analysis, facilitating creative alpha generation based on a profound understanding of data and financial acumen. As a member of a small team, you will report directly to the Portfolio Manager, engaging in all facets of systematic trading, which presents substantial growth opportunities for the right individual.We emphasize continuous learning and professional development, making this role a unique chance to collaborate and learn from seasoned experts in the field.At Engineers Gate, we are committed to advancing systematic trading through innovative quantitative analysis. If you thrive in a dynamic, data-driven environment, we invite you to apply and join us on this exciting journey.

Join our dynamic Volatility team at Trexquant as a highly skilled Quantitative Researcher. This crucial role involves collaborating closely with the Head of Volatility to expand our research group's capabilities, focusing on the development of specialized volatility tools and the exploration of trading signals and strategies within the volatility markets. The ideal candidate will possess a strong background in volatility modeling, statistical analysis, and a comprehensive understanding of market dynamics.Key Responsibilities:Develop and maintain proprietary pricing and analytics tools tailored for volatility research.Calibrate implied volatility surfaces across a range of options including single stock, index, and ETF options, while working with developers to implement models into backtesting and live trading systems.Design, implement, and enhance trading strategies aimed at predicting volatility market trends using extensive financial datasets and diverse trading signals.Analyze large datasets to uncover actionable alpha signals and devise effective volatility trading strategies.Investigate and leverage innovative academic research in quantitative finance to evaluate, enhance, and maximize the profitability of trading strategies.Continuously refine existing models by incorporating new data sources and advanced methodologies to improve performance and scalability.Collaborate with a team of seasoned quantitative researchers to conduct experiments, backtest hypotheses, and fine-tune strategies through comprehensive simulations and data analysis.

About Our Team:Join a dynamic and highly respected quantitative portfolio management team at Point72, dedicated to innovation in the intraday to mid-frequency systematic macro domain. As a vital member of our team, you will receive unparalleled resources and support to expand and enhance our quantitative macro business.Your Role:Conduct in-depth and pioneering research to create systematic signals for global macro markets, including futures and foreign exchange (FX).Analyze price-volume and alternative datasets over intraday to multi-day timeframes (up to 2-3 weeks) within the mid-frequency realm.Engage in the complete research lifecycle, from signal ideation and data processing to modeling, strategy backtesting, and live implementation.Collaborate with a team of top-tier professionals equipped with state-of-the-art research and trading infrastructures, alongside access to pristine datasets.Key Responsibilities:Create and refine systematic trading models across diverse global futures (equity indices, commodities, and fixed income) and/or FX markets.Generate alpha ideas, oversee backtesting, and facilitate implementation.Assess new datasets for potential alpha generation.Enhance portfolio optimization, asset allocation, and risk management frameworks.Contribute to the growth of the team's investment processes and research capabilities.Support the development and ongoing improvement of production and trading environments.Qualifications:Master's or PhD in physics, engineering, statistics, applied mathematics, quantitative finance, or related quantitative disciplines, with a robust statistical foundation.4+ years of experience in signal research or portfolio management focused on futures markets and/or FX, showcasing a successful track record within a proprietary trading setting.Prior experience in signal combination, portfolio optimization, and risk management is essential.Expertise in programming languages such as Python, R, or C/C++, with familiarity in data science tools like scikit-learn and Pandas.A collaborative spirit paired with strong independent research capabilities.Dedication to maintaining the highest ethical standards in all endeavors.

Galaxy Digital Services is a global company focused on digital assets and advanced data center infrastructure. Based in New York City, the team builds products and services that support finance and artificial intelligence, with a strong emphasis on blockchain technology and digital asset innovation. The company operates across North America, Europe, the Middle East, and Asia, serving institutions, startups, and developers who are shaping the future of Web3 and AI. Under the leadership of CEO and Founder Michael Novogratz, Galaxy Digital Services brings together deep crypto expertise and institutional experience. The platform covers trading, investment banking, asset management, staking, self-custody, and tokenization technology, as well as investments in high-performance data center infrastructure for AI and computing needs in the United States. More information about the company's businesses and products is available at www.galaxy.com. Our Values Strive for Excellence. Be Selective for Greater Impact. Align Closely, Operate Freely. Embrace Open Disagreement. Foster Independent Decision-Making. Assemble Exceptional Teams. Role overview The Vice President of Quantitative Development will join the Crypto trading desk in New York City. This role focuses on collaborating with traders, quantitative analysts, and developers to design, implement, and refine market-making and quantitative trading strategies. The work environment values innovation, rapid iteration, and teamwork. Requirements Extensive experience in software development and quantitative analysis Strong understanding of financial markets, especially in FX and Crypto trading Ability to work closely with cross-functional teams to deliver trading solutions Your profile The ideal candidate brings a track record of technical proficiency and a collaborative approach. Success in this position requires a deep background in both programming and quantitative finance, with a focus on the unique challenges of digital asset markets.

Join our dynamic Futures team as a Quantitative Researcher and leverage your skills in financial modeling and statistical analysis to develop innovative trading models. In this pivotal role, you will engage in research and model development focused on trading and risk management in the futures markets. We are looking for a proactive candidate with a strong grasp of market dynamics and a passion for data-driven decision-making.Key Responsibilities Create, implement, and enhance trading strategies to forecast trends in the futures market using comprehensive financial data and diverse trading signals. Analyze extensive datasets to uncover actionable alpha signals and formulate effective futures trading strategies. Research and apply leading academic insights in quantitative finance to evaluate and optimize the profitability of trading strategies. Drive continuous innovation by integrating new data sources and advanced methodologies to enhance model performance and scalability. Collaborate with a team of skilled quantitative researchers to conduct experiments, backtest theories, and refine strategies through thorough simulations and analytical rigor. Qualifications BS, MS, or PhD in a STEM discipline. A minimum of 2 years of experience in quantitative research, particularly in futures markets. A strong enthusiasm for machine learning and its applications in finance. Expertise in programming languages such as Python and proficiency in statistical modeling techniques. Excellent analytical and problem-solving capabilities. Effective collaboration skills, with the ability to work independently as well as in a team setting.

About Our Team:Join a dynamic and highly-regarded quantitative portfolio management team at Point72, where we are seeking a seasoned quantitative researcher to innovate and implement systematic macro strategies with a keen focus on market microstructure. You will be empowered with extensive resources and support to facilitate the growth and expansion of our quantitative macro business.Key Responsibilities:Conduct thorough and groundbreaking research to create systematic signals for global macro markets, including futures and FX, emphasizing market microstructure.Engage in feature engineering using order book tick data across intraday to daily timeframes.Utilize a variety of modeling techniques, from linear models to machine learning, for effective feature combination.Involve yourself in the entire research pipeline, from generating signal ideas to data processing, modeling, strategy backtesting, and production implementation.Contribute to the enhancement of the investment processes and research capabilities of the team.Collaborate with a team of highly skilled and motivated professionals, benefiting from cutting-edge research and trading infrastructure, along with access to pristine datasets.Assist in the construction, upkeep, and ongoing improvement of production and trading environments.

Role and ResponsibilitiesInnovate and refine proprietary trading strategies utilized by both discretionary and quantitative trading teams.Engage in in-depth quantitative analysis of market microstructure to enhance trading algorithms and uncover market inefficiencies.Create and sustain predictive models aimed at optimizing trade execution while minimizing transaction costs, employing both linear and non-linear methodologies.Partner with interdisciplinary teams, including portfolio managers and research analysts, to conceptualize and implement effective trading strategies.Continuously monitor and report on developments in market microstructure.

Join IMC as a Quantitative Developer, where you will take charge of transforming research into actionable trading strategies. This position uniquely combines research and engineering, allowing for continuous feedback from the initial concept to live trading. Your role will involve creating sophisticated systems that leverage quantitative insights to develop a competitive edge, with direct visibility into the impact of your contributions.

Quick FactsRole: Quantitative ResearcherLocation: 5 days/week @ NYC HQBase Salary: $200K to $325KEquity: Competitive initial grant plus annual performance-based bonusesAbout MomentMoment is at the forefront of developing innovative trading and portfolio management technology. Our flagship product suite encompasses high-throughput market data pipelines, automated smart order routing algorithms, real-time portfolio ledgering and position tracking, as well as advanced portfolio optimization techniques.Founded in 2023 by a dynamic team of quantitative traders and researchers from Citadel and Jane Street, we have successfully secured over $100 million in funding from notable investors including Andreessen Horowitz and Index Ventures. Our technology supports critical operations for financial institutions managing assets exceeding $8 trillion.The Research Team at Moment tackles complex challenges such as:Executing over 100K variable portfolio optimizations within seconds.Creating machine learning models to predict relative value and future performance of fixed income securities.Formulating risk models to assess the tracking error across portfolios.Developing AI agents to conduct credit research, construct custom portfolios, and automate essential portfolio management functions.You're a Great Fit If...You are a quantitative researcher or trader, with a willingness to consider strong candidates from other fields.You possess a bachelor's degree or PhD in Mathematics, Physics, Statistics, Economics, or Computer Science.You have experience writing production-ready code in Python.You are resourceful and eager to tackle challenges.You enjoy collaborating closely with clients; at Moment, researchers also act as product managers.Preferred QualificationsExperience in fixed income quantitative research.Familiarity with numerical optimization techniques.Knowledge of factor and risk models.Experience with Polars.Proficiency in machine learning pipelines.Experience with multi-modal LLMs.BenefitsHealth Insurance401k

Belvedere Trading is a premier proprietary trading firm renowned for its commitment to innovation in trading technology. With strategically located offices in Chicago, New York, Boulder, and Singapore, we excel in providing market liquidity across a broad spectrum of instruments, including commodities, interest rates, exchange-traded funds (ETFs), and equity index options. Our dedicated traders leverage a sophisticated blend of cutting-edge technology and market expertise to ensure robust liquidity in the markets.We are seeking a talented Senior Quantitative Developer to join our dynamic Low Latency Systematic Volatility Trading team. This role offers the opportunity to work at the intersection of quantitative modeling and high-performance engineering, building and optimizing real-time production systems for pricing, risk management, and trading of derivatives. Ideal candidates will possess a deep passion for performance, precision, and system stability, all while thriving in a collaborative team environment.

Job OverviewJoin the dynamic and innovative team at Point72 Internal Alpha Capture (IAC), where we are committed to shaping the future of quantitative equity trading. Our team is focused on creating advanced trading signals using cutting-edge machine learning techniques, rigorous research methodologies, and a diverse array of data sources, all powered by exceptional computational resources.We are on the lookout for talented students to join us as Quantitative Developer Interns for the Summer of 2025. This is a unique opportunity to collaborate closely with industry experts, receive thorough training, and contribute to the development of impactful trading signals.Your internship will provide exposure to a variety of projects, including:Enhancing quantitative research platforms by integrating and benchmarking in-house and cloud technologies.Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases.Refining research and trading tools and infrastructure for improved efficiency.

About Man GroupMan Group is a leading global alternative investment management firm dedicated to delivering superior performance for sophisticated clients through our Systematic, Discretionary, and Solutions offerings. Leveraging exceptional talent and cutting-edge technology, our diverse investment strategies are underpinned by extensive research and encompass both public and private markets across all major asset classes, with a strong emphasis on alternatives. We believe in building partnerships with our clients, fostering deep relationships, and creating tailored solutions that align with their investment objectives and those of the millions of retirees and savers they represent.Headquartered in London, we manage $227.6 billion* and operate from multiple global offices. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is part of the FTSE 250 Index. For more information, please visit www.man.com.* As of December 31, 2025Algo Research TeamThe Algo Research team is responsible for alpha research across a broad spectrum of timescales (from high frequency to approximately 48 hours), designing monetization and execution strategies, as well as modeling market impact across all major asset classes including Cash Equities, Futures, FX, and options.Purpose of the RoleThe primary goal is to research, develop, and manage strategies that enhance Man Group’s global trading capabilities in financial markets using high-frequency techniques.Specific ResponsibilitiesConduct high-frequency alpha research: design, implement, and deploy tick-data features and machine learning models targeting short horizons.Manage trading strategies: write strategy logic, perform post-trade analysis, and oversee production deployments of high-frequency execution algorithms.Oversee global asset class coverage...