2026 Summer Internship - Quantitative Researcher

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.

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 Kirin as a Quantitative Research Intern focusing on the exciting field of prediction markets. This role offers a unique opportunity to immerse yourself in trading strategies while working with live capital. You will have the autonomy to make impactful decisions and witness the direct results of your efforts in a dynamic environment.Key Responsibilities:Create, evaluate, and deploy quantitative trading strategies across US equities and cryptocurrency markets.Oversee trading operations, including executing trades in real-time, managing risks, and determining position sizes.Continuously enhance and optimize existing algorithms to boost trading performance.Conduct market analyses to uncover profitable trading opportunities using statistical and machine learning techniques.Produce regular performance reports and articulate insights effectively to the team.Qualifications:Strong foundation in quantitative analysis, algorithmic trading, and statistical modeling.Proficiency in programming languages such as Python, TypeScript, Go, or Rust.Demonstrated interest or experience in cryptocurrency trading and/or US equity markets.Familiarity with trading platforms, data analysis tools, and understanding of market microstructure.Exceptional problem-solving abilities with a keen eye for detail.Capable of working independently and making swift decisions in high-pressure situations.Compensation Structure:Participate in a transparent profit-sharing model where you will trade using the company's capital, aligning your incentives directly with performance outcomes.

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

Atto Trading is a leading quantitative trading firm that employs a portfolio of signal-driven high-frequency trading strategies across cash equities and futures markets.We are currently seeking a dedicated Trading Operations Engineer to enhance our team. As we embark on expanding into new markets, it is an exhilarating time to join our diverse group of professionals specializing in trading, statistics, engineering, and technology. Our methodical approach, paired with rapid market feedback, enables us to transform innovative ideas into profitable outcomes swiftly. We foster a collaborative and educational environment where we tackle some of the most challenging problems in the industry together.As a compact firm, we maintain agility and uphold the highest standards of integrity, creativity, and diligence.Our Trading Activities:We execute trades on nearly all US exchanges, including NASDAQ, NYSE, ARCA, Cboe, CME, CFE, and more.Key Responsibilities:Oversee and manage Atto Trading’s automated trading systems to ensure seamless operations.Conduct proactive analyses and enhancements of trading pipelines by developing scripts to automate and optimize daily trading processes and reporting mechanisms.Collaborate with traders, engineers, brokers, and exchanges to address and resolve intraday issues in real time.Engage directly with exchanges and clearing members to investigate and resolve live trading discrepancies.Partner with software engineering teams to refine and sustain trading infrastructure and internal monitoring systems.Automate and enhance trading support workflows and pipelines utilizing Python and Bash scripting.Support daily risk operations through report generation and execution of established risk protocols.Document production incidents while maintaining thorough logs and monitoring protocols.Manage and oversee enterprise systems related to pipeline scheduling, software releases, and operational monitoring.Assist in new market deployments by working closely with internal teams on infrastructure and connectivity.

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 Hudson River Trading (HRT) as a Mid-Frequency Quantitative Researcher, where you will play a pivotal role in the development of systematic trading strategies that leverage cutting-edge statistical methodologies across diverse datasets. You will implement innovative trading models driven by unique market behavior predictions while utilizing HRT's state-of-the-art research and trading infrastructure. As a vital member of our dynamic team, you will actively engage in all facets of strategy development, including alpha generation, portfolio optimization, and the design of trade execution algorithms. Your responsibilities will encompass not only prototyping and researching various strategy components but also coding to bring your concepts to life. A passion for programming is essential for success in this role.

Join Atto Trading, a pioneering quantitative trading firm established in 2010, at the forefront of high-frequency trading strategies. We are actively seeking a C++ Software Engineer to enhance our dynamic team in New York.Our diverse and international team comprises experts in trading, statistics, engineering, and technology. Our unique blend of disciplined strategies and swift market feedback enables us to transform innovative ideas into profitable outcomes. Here at Atto, we foster an environment of continuous learning and collaboration, allowing us to tackle some of the most complex challenges in the industry together. As a small firm, we pride ourselves on our agility and commitment to integrity, creativity, and hard work.Position Highlights:As we modernize our trading and research platform to expand our alpha trading operations, you will play a pivotal role in developing a platform that empowers researchers to explore, test, and deploy complex signals, models, and strategies across various asset classes in a fully automated and robust manner, all while adhering to stringent latency targets. Your contributions will be crucial in building, maintaining, and supporting this platform.Responsibilities:Design, develop, and maintain our leading global trading platform using low-latency C/C++ systems specifically for high-frequency trading (HFT), consistently improving its performance, functionality, and stability.Conduct rigorous testing and engage in thorough code reviews to ensure high-quality standards.Integrate advanced networking hardware interfaces (FPGA, kernel-bypassing drivers).Exhibit proactive decision-making and self-direction, while knowing when to seek assistance.Investigate and propose enhancements for platform performance.Requirements:A minimum of 2 years of experience in developing high-frequency trading platforms and trading systems.Proficiency in C/C++, particularly modern C++ within a Linux environment.Expertise in profiling and optimization techniques.Strong understanding of Object-Oriented Programming (OOP), Multithreading, and Inter-Process Communication (IPC).Bachelor's degree or higher in Computer Science, Computer Engineering, or a related field.Meticulous attention to detail, a commitment to maintaining high standards, and a critical mindset.Able to juggle multiple tasks in a fast-paced environment.A proactive attitude towards building, learning, and achieving results.Desirable Qualifications:Familiarity with operating systems, including kernel-level understanding of device support in Linux.Knowledge of financial instruments such as Stocks, ETFs, Futures, and Options.Experience with various market data and order entry protocols (ITCH, OUCH, PITCH, CME MDP).A genuine interest in finance, trading, and contemporary electronic markets.Benefits:Competitive salary packagePerformance-based bonuses401(k) retirement planMental health support initiatives

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...

Join IMC, a leading global market maker, as a Quantitative Researcher specializing in Equities. In this role, you will develop cutting-edge high-frequency, low-latency trading strategies and predictive models. Collaborate with a talented team to blend IMC's extensive options expertise with insights from the equity market. Your analyses will drive unique predictions of market behavior, which will be executed using our state-of-the-art technology across both options and equities markets.As a valued member of our growing team, you will be integral to all facets of IMC’s trading operations. Your contributions will extend beyond signal generation to collaborating with developers in designing and implementing a robust framework that fosters timely research, testing, and production of new ideas.

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.

At Jump Trading Group, we are dedicated to pioneering research and pushing the limits of scientific knowledge in the realms of Mathematics, Physics, and Computer Science. Our mission is to apply groundbreaking research to the global financial markets. We foster a unique culture that values innovation, creativity, intellectual honesty, and a competitive spirit, all while emphasizing collaboration and mutual respect. Here, we believe that our collective success is built on the individual talents of our team members.With a commitment to excellence, we integrate world-class talent, robust infrastructure, and an intense focus on research to develop and enhance trading strategies across various asset classes and time horizons. Our involvement in the competitive and rapidly evolving equities market is facilitated through diverse business operations. Our researchers collaborate on projects that delve into specific market opportunities, latency variations, and diverse research methodologies, including Machine Learning and Deep Learning. Our collaborative environment strikes a balance between focused expertise and the flexibility to explore innovative ideas without rigid hierarchies.We are currently seeking experienced Quantitative Developers to join our dynamic “mixed frequency” research team, where project horizons range from minutes to days. This fast-paced, flat structure empowers each team member while expecting high levels of performance and engagement in our global research and development efforts.

Join Squarepoint Services US LLC as a full-time Quantitative Researcher specializing in Investment/CTA Fixed Income at our New York, NY office. Key Responsibilities: As part of our investment management team, you will engage in research focused on systematic trading strategies for global fixed income markets. Your primary duties will include empirically analyzing extensive financial datasets to uncover systematic trading opportunities, utilizing statistical and econometric modeling techniques to develop predictive models for market movements and security trades. You will also analyze trading ideas through quantitative and statistical methods, conduct backtesting to evaluate strategies under realistic market conditions, and collaborate with engineers to implement these strategies in a production environment. Proficiency in Python will be essential for conducting research, data analysis, and model development. Additionally, you will enhance our analytics platform by creating research and portfolio construction tools and utilize version control systems such as Git and Unix/Linux to manage your development work. Monitoring the production process will also be part of your role.

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.

About Us:Atto Trading is a forward-thinking quantitative trading firm established in 2010, recognized as a leader in high-frequency trading strategies on a global scale. We are on a mission to expand our diverse, international team of experts in trading, statistics, engineering, and technology. Our disciplined methodology, paired with swift market feedback, empowers us to rapidly transform innovative ideas into profitable results. As a compact firm, we pride ourselves on our agility and unwavering commitment to integrity, creativity, and diligence.Role Overview:We are seeking a proactive and skilled Head of Infrastructure to lead a dynamic engineering team through a pivotal phase of business expansion. This role entails setting strategic direction and delivering critical initiatives within a hybrid environment while maintaining close collaboration with various stakeholders. The ideal candidate will exhibit a blend of technical expertise and team leadership, thriving in a fast-paced atmosphere and dedicated to developing scalable, secure, and highly automated platforms.Key Responsibilities: Lead and mentor an infrastructure team of 7 engineers during significant organizational growth. Oversee essential infrastructure areas such as CI/CD, networking, hardware performance tuning, data platforms and pipelines, scalable computing, security, and access management. Enhance engineering standards through the application of established industry best practices. Champion modernization and upgrades of key stack components with full management support. This hands-on role requires 60-80% technical involvement, reflecting our commitment to maintaining high productivity and profitability per employee.

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 Five RingsFive Rings LLC is a forward-thinking proprietary trading firm that blends strategy, innovation, and cutting-edge technology to thrive in the global financial markets. With offices strategically located in New York, Boca Raton, London, and Amsterdam, we engage in a diverse range of domestic and international trading activities, spanning both well-established and niche markets. Our dynamic team is dedicated to identifying new opportunities, evaluating their associated risks, and devising robust strategies and tools to leverage these prospects.At Five Rings, we foster an open culture that encourages the free exchange of knowledge and innovative ideas across all departments.About the RoleAt Five Rings, we empower our team members with significant responsibilities at an accelerated pace. You will:Identify emerging trading opportunities in the markets we operate in.Develop and enhance sophisticated market models.Conduct detailed analyses and simulations.Integrate models into our trading systems.Test models in real-time trading scenarios.Collaborate closely with traders and software developers. About YouPossess a Bachelor’s degree in Computer Science, Economics, Mathematics, Physics, Statistics, or a related field.Have a minimum of two years of experience in developing quantitative trading strategies in futures and/or equities.Demonstrated experience in conducting data analysis on large financial datasets to identify intraday signals for mid to high-frequency trading.Exhibit exceptional mathematical skills.Have a strong desire to tackle complex mathematical challenges.Be a risk-taker and skilled problem solver.Demonstrate innovative analytical thinking and methodologies.Be detail-oriented and thrive in a fast-paced, collaborative setting.Show eagerness to continuously learn and advance your skills.Proficient in statistical programming languages and packages such as R, Python, or similar. Annual Base Salary: $300,000. Total compensation packages comprise base salary and discretionary bonuses.

Man Group plc is a global alternative investment manager with $227.6 billion in assets under management as of December 31, 2025. The company operates in both public and private markets, emphasizing alternative investments and research-driven strategies. Headquartered in London and listed on the London Stock Exchange (EMG.LN), Man Group is part of the FTSE 250 Index, with offices in multiple regions worldwide. More information can be found at www.man.com. Team Overview The High-Frequency Quantitative Research team, based in New York, is part of Man Global Markets. This group manages execution across all Man Group investment engines, asset classes, and regions. The team specializes in researching and building low-latency trading strategies and proprietary execution algorithms. Members are involved in every stage of trading strategy development, using custom machine learning research and monetization tools. Internship Focus This summer 2026 internship centers on quantitative research within high-frequency trading. Interns will contribute to projects involving advanced trading strategies and the development of execution algorithms. The role provides exposure to the full lifecycle of strategy development, from research to implementation. Who Should Apply? This internship suits individuals interested in quantitative finance who want to work on advanced trading strategies. Curiosity, motivation, and an interest in innovative projects are valued qualities for this team.

Trexquant is on the lookout for a seasoned quantitative researcher to spearhead our Systematic ETF Strategy Team. In this leadership role, you will guide a team of dedicated researchers focused on the design, execution, and trading of systematic ETF-based strategies, all within Trexquant’s robust quantitative framework. Your vision and expertise will be pivotal in scaling ETF strategies into a significant asset class for our firm.Key ResponsibilitiesLead and mentor a team of researchers, driving the expansion of ETF capabilities through the identification of innovative data sources, signals, and strategies.Oversee the development, backtesting, and implementation of systematic ETF trading strategies.Collaborate closely with the development team to enhance the performance, robustness, and scalability of our ETF simulation and trading infrastructure.Work in partnership with execution and financing teams to optimize trade execution and improve capital efficiency.Engage with the risk management team to establish monitoring frameworks, controls, and capital allocation processes specifically tailored for ETF exposures.Present ETF research initiatives and progress updates to senior management, ensuring alignment with the firm’s overarching trading and investment strategies.Qualifications5+ years of demonstrated experience in researching and trading quantitative ETF-based strategies.A Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a relevant STEM field.Proven leadership experience in managing quantitative research teams.Strong quantitative, analytical, and problem-solving capabilities.Expertise in Python; familiarity with large-scale data analysis and backtesting frameworks is advantageous.BenefitsCompetitive salary with performance-based bonuses.A collaborative, casual, and friendly work environment.Comprehensive health, dental, and vision insurance fully covered for you and your dependents.Pre-tax commuter benefits.Weekly catered meals.Applications are currently being accepted for our NYC office, set to open in September 2026.The base salary range is $130,000 to $200,000, dependent on the candidate’s educational and professional background. The base salary is only one component of Trexquant’s total compensation, which may include discretionary and performance-based bonuses.Trexquant is an Equal Opportunity Employer.