Quantitative Developer at Caxton Associates | New York

dvtrading seeks a Quantitative Trader specializing in equities for its New York office. This role centers on analyzing data and using quantitative methods to shape and enhance trading strategies. Role overview The Quantitative Trader will monitor market trends and apply analytical thinking to identify opportunities and risks. Daily work involves reviewing data, testing ideas, and adjusting strategies to improve trading outcomes. What you will do Develop and refine equity trading strategies using quantitative analysis Track and interpret market trends to inform decisions Apply analytical skills to evaluate and improve trading performance Location This position is based in New York.

About the Position Join Jane Street as a Quantitative Trader, where you will play a pivotal role in identifying market signals, analyzing and executing trading strategies, constructing quantitative models, and conducting in-depth statistical analyses. You will also be responsible for building sophisticated algorithmic trading systems, managing risks, and developing new business opportunities. Our trading desks foster a collaborative environment, allowing you to work closely with experienced traders who are dedicated to mentoring and supporting you. Expect to take on significant trading responsibilities within weeks to months, complemented by a robust year-long educational curriculum designed to enhance your skills. At Jane Street, we blur the lines between research, technology, and trading, ensuring close collaboration as we push the boundaries of innovation. We handle vast amounts of data with a computing cluster encompassing hundreds of thousands of cores and an extensive GPU cluster. We embrace a variety of statistical and machine learning techniques, from linear models to deep learning, to tackle complex problems effectively.

About the Role As a Quantitative Trader at Jane Street, you will be part of a dynamic team that utilizes our proprietary trading models to execute over a million trades on busy days. You will collaborate with fellow traders to identify and capitalize on pricing inefficiencies while also developing models, managing risk, and exploring new business opportunities. Our seasoned traders will mentor you, allowing you to grow from an assistant role to assuming greater responsibilities as your skills develop. Technology is integral to our trading strategy, and we pride ourselves on being as much a technology firm as a trading company. We primarily utilize OCaml, a statically-typed functional programming language, and boast the largest team of OCaml engineers in any industrial environment.

At Noise Trading, we redefine market creation by tapping into the nuances of culture and social attention. Our innovative platform establishes the world's first financial contracts based on attention, ensuring perpetual liquidity, narrowing spreads, and fostering deep, efficient markets that remain adaptable to the ever-evolving conversation landscape. By succeeding in our mission, we aspire to become the backbone of liquid attention.Our dynamic team operates from SoHo, New York City, leveraging advanced technology and creative strategies to lead in this new frontier.Key ResponsibilitiesManage and enhance our proprietary trading systems to secure consistent and scalable returns.Implement rigorous risk-management strategies: adjust parameters, monitor for anomalies, and enforce necessary controls.Analyze real-time market data, adapt trading strategies as needed, and collaborate closely with our technology teams.Prepare and present detailed trading reports and post-trade analyses.Recognize system limitations, propose innovative enhancements, and devise next-generation trading strategies.QualificationsBachelor’s degree in a STEM field (e.g., Mathematics, Engineering, Computer Science); we encourage recent graduates to apply.Demonstrated analytical skills, comfort with ambiguity, and a methodical approach to problem-solving.Familiarity with programming or scripting languages such as Python, C++, or equivalent.Outstanding communication abilities, a quick learner, and strong self-management skills.Preferred: Experience in competitive strategy environments like gaming, poker, or chess.We offer a competitive full-time salary range of $108,000-$120,000, plus performance bonuses. This complies with New York City's Pay Transparency Law. Full-time employees at Noise Trading also qualify for additional compensation elements, including equity and benefits based on the role.

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.

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.

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.

Laniakea Funds is actively searching for a driven and innovative Junior Trader proficient in Python to support trade execution while contributing to the design and development of trading tools and strategies. This is a unique opportunity to gain insights from seasoned experts in the derivatives field, allowing you to tailor your career path within our dynamic organization.As part of our high-growth hedge fund, founded in 2023, you will engage in relative value (RV) volatility strategies across diverse asset classes. Our dedicated team of seven, with locations in London, Sydney, and New York, thrives on rigorous analysis and industry expertise to offer investors access to an overlooked asset class. We're excited to welcome a new team member who is eager to grow alongside us in a fast-paced startup atmosphere.

About Bridgewater AssociatesBridgewater Associates is a leading asset management firm dedicated to providing innovative insights and collaboration for the most discerning global institutional investors.Our investment approach is grounded in a relentless desire to comprehend the intricacies of global markets and economies, utilizing cutting-edge technology to validate and implement age-old, universal investment principles.Founded in 1975, we pride ourselves on a culture of independent thought and a steadfast commitment to excellence. By nurturing an environment of openness, transparency, and inclusivity, we aim to decipher the most complex issues in investment strategy, management, and corporate culture.For more information about Bridgewater, please visit our website.

About Us:DV Trading, a leading independent proprietary trading firm, has been a key player in the financial services industry for over 15 years. With our headquarters in Chicago and a team of more than 450 professionals operating across North America and Europe, we have established ourselves as a significant provider of liquidity and risk management solutions in global markets. Our diverse portfolio includes multiple broker dealers, a cryptocurrency market-making firm, and a growing investment advisory service.DV Commodities, a specialized division within DV Trading, focuses on trading various commodity markets, including crude oil, natural gas, power, emissions, metals, soft commodities, and agriculture. Our commitment to excellence is supported by advanced technology, robust risk management practices, and a team of talented traders, positioning us as one of the world's largest liquidity providers in the commodities sector. To learn more, visit DV Commodities.

About Wintermute TradingWintermute Trading stands as one of the foremost algorithmic trading firms in the realm of digital assets. We excel in providing liquidity through advanced algorithms across major cryptocurrency exchanges and trading platforms. Furthermore, we offer a diverse array of OTC trading solutions and lend our support to prominent blockchain projects as well as traditional financial institutions transitioning into the crypto space. At Wintermute, we are not merely a trading entity; we are a critical and influential participant in the digital asset markets, forming strategic partnerships with key industry players. We are actively involved in the blockchain ecosystem's growth through targeted investments, collaborations, and project incubation.Join Us at Wintermute TradingWith a global presence that includes offices in London and Singapore, Wintermute Trading launched its US office in early 2025 and is poised for substantial growth in the coming years. This is a unique opportunity to contribute to the swift expansion of Wintermute Americas.Your RoleWe are on the lookout for an Algorithmic Trader who possesses strong coding skills in Python, a keen sense for trading, and a genuine curiosity about high-frequency trading (HFT), liquidity provision, and cryptocurrency trading. Following a brief training period with our global trading team, you will engage in projects that directly influence the profit and loss (P&L) of Wintermute USA's trading strategies. Your responsibilities will include analyzing extensive trading and transaction data, deriving actionable insights, prioritizing these insights, and formulating solutions based on your analyses. You will enjoy considerable autonomy and responsibility from the outset, while benefiting from the mentorship of seasoned crypto trading experts, facilitating rapid learning without the constraints of outdated systems or corporate red tape. Your impact will be significant, with no limits imposed by the company!

About the PositionJane Street is seeking talented Quantitative Researchers to assist in developing models, strategies, and systems for pricing and trading financial instruments. You will collaborate closely with seasoned researchers dedicated to mentoring our newest team members, immersing yourself in experimental design, dataset generation, time series analysis, feature engineering, and model construction for financial datasets.At Jane Street, our researchers, engineers, and traders work in close proximity, fostering a collaborative environment to train models, design systems, and execute trading strategies. We leverage petabytes of data and operate on a computing cluster with hundreds of thousands of cores, alongside a rapidly expanding GPU cluster featuring tens of thousands of high-performance GPUs. Your daily tasks may include delving into market data, fine-tuning hyperparameters, debugging distributed training performance, or analyzing our model's trading behavior in production settings.We reject the notion of a “one-size-fits-all” modeling approach; instead, we embrace a wide array of statistical and machine learning techniques, from linear models to deep learning, adapting our methods to meet the specific needs of each problem. The most successful researchers thrive on their curiosity about how their contributions integrate into the broader framework of our trading operations, transforming their findings into actionable strategies.About YouIf you’ve never considered a career in finance, you’re not alone—many of our team members were in the same boat before joining us. If you possess a curious mind and a passion for tackling intriguing challenges, you will likely feel at home here. Ideal candidates will:Utilize logical and mathematical reasoning to approach diverse problemsExhibit intellectual curiosity; eager to ask questions, acknowledge mistakes, and pursue new knowledgeBe proficient in programming, particularly with PythonCommunicate precisely and think openly, enjoying collaboration with colleagues across various fields and expertiseWhile most candidates have a background in data science or machine learning, we prioritize your thought process and learning capability over specific knowledge. A PhD or relevant research experience is advantageous.For more insights, feel free to explore our interview process and meet some of the team.

Our MissionAt comity, we are dedicated to revolutionizing energy systems by enhancing their reliability, transparency, and efficiency. Our goal is to pave the way for a future characterized by sustainable and abundant energy. To achieve this, we employ cutting-edge statistical learning and convex optimization techniques (AI) to construct the financial frameworks essential for tomorrow's energy systems.We envision a world where energy systems are efficient, autonomous, resilient, and powered entirely by renewable energy sources. About UsFounded by industry veterans from Apple, Bluevine, Affirm, Square, and Google, our leadership team comprises Stanford alumni who possess deep expertise in complex systems, machine learning, and structured finance. Supported by esteemed investors like Maverick Ventures and Caffeinated Capital, we are aligned with our strategic objectives and vision for the platform.Your RoleWe are seeking a Quantitative Researcher for Monetization to assist in designing, deploying, and operating autonomous, systematic strategies that extract economic value from our future information (forecasts) and energy systems models, while navigating real-world market constraints. In this role, you will:Identify and prioritize market opportunities based on potential value and complexity.Architect end-to-end autonomous strategies encompassing models, forecasts, and market actions.Enhance strategy performance by utilizing metadata to inform bidding decisions.Manage the full process from information development to production-ready code, stepping in when additional resources are needed.What We Value in YouYou have applied stochastic optimization to challenges within financial or electrical engineering, operations research, or economics.You possess a strong conceptual understanding of probability theory and an aptitude for shaping and managing distributions.You bring over 5 years of design, research, and development experience within the industry.You have a profound understanding of the dynamics and structure of energy, commodity, or financial markets.You are proficient in developing and monitoring machine learning models.You are a skilled programmer, particularly in Python.Most importantly, you are driven and passionate about making a significant impact in the energy sector.

Virtu Financial, Inc. is a premier financial institution that utilizes state-of-the-art technology to provide liquidity across global markets and deliver innovative and transparent trading solutions to our clients. As a distinguished market maker, Virtu enhances market efficiency by offering substantial liquidity in over 19,000 securities across 235 venues in 36 countries worldwide.Our core services, including market making, client execution, and proprietary trading venues, provide a competitive edge, allowing us to develop and implement cutting-edge tools that enhance operational efficiency and performance throughout the organization.THE ROLEAs a Quantitative Strategist at Virtu, you will collaborate within interdisciplinary teams comprising traders, quantitative analysts, and experienced software engineers. Our environment is collegial and supportive, fostering interactions across various teams globally.Utilize your keen observational skills and advanced statistical techniques to design and refine predictive models.Conduct research to devise and implement innovative trading strategies.Evaluate existing strategies for potential enhancements.Develop comprehensive risk models and frameworks to effectively manage portfolio risks.Create tools that automate research workflows and enhance the visualization of complex datasets.THE CANDIDATEA PhD in a quantitative discipline such as Science, Mathematics, Engineering, or other STEM fields.No prior experience in Quantitative Finance or specific asset class knowledge is necessary.A strong academic background with diverse, challenging coursework and a solid GPA.Outstanding quantitative, mathematical, and analytical problem-solving abilities.Excellent communication skills with the capability to collaborate effectively with colleagues.Ability to tackle technical and quantitative challenges under pressure.Proficiency in expressing concepts mathematically and algorithmically.Programming expertise, particularly in Python and C/C++.A strong sense of intellectual curiosity and self-motivation, with the capability to learn from peers and seek guidance.Exceptional adaptability and a high tolerance for ambiguity.A strong desire for success within a collaborative environment.

Forge Global is expanding its Research & Data Analytics team in New York. The company builds technology and data solutions for private markets, supporting innovation across industries from space exploration to artificial intelligence. Forge’s marketplace and liquidity tools help employees, employers, and investors access and manage private company shares. Role overview The Quantitative Researcher will play a key part in producing original research and strengthening Forge’s analytics capabilities. This position involves working with proprietary private market data, analyzing macroeconomic trends, and identifying emerging themes that matter to clients and stakeholders. The research produced will support clients, prospective clients, internal teams, and public audiences. What you will do Generate original research using exclusive private market data Analyze macro trends and new themes relevant to private markets Create insights and content for clients, internal partners, and public audiences Contribute to the ongoing development of Forge’s Research & Analytics functions What Forge values Boldness in pursuing new ideas and solutions Accountability in delivering accurate, impactful research Humility in collaborating with colleagues and clients

DV Trading is seeking a Graduate Trader in New York. This entry-level role centers on commodities trading and offers direct exposure to the mechanics of financial markets. Role overview Graduate Traders at DV Trading begin by building a strong foundation in market analysis and trading strategy. The position involves working closely with experienced traders to understand how decisions are made and executed in real time. What you will do Develop analytical skills through hands-on market observation and data review Learn trading strategies and how to apply them effectively Participate in decision-making that affects trading outcomes Requirements This role is designed for recent graduates interested in commodities trading. A strong interest in financial markets and a willingness to learn are important.

About Clear Street: Clear Street is revolutionizing the brokerage landscape. Established in 2018, we are a progressive financial services firm that is replacing outdated infrastructure in capital markets. We have built a fully cloud-native clearing and custody platform designed for the complexities of today’s global market. Our system seamlessly integrates with central clearing houses and exchanges, handling billions in daily trading volume. Our focus on data model abstractions, horizontal scalability, and API design ensures that we deliver a premier experience for our clients. By combining top-tier product and engineering talent with experienced finance professionals, we are creating the foundational elements to thrive in today’s rapid-paced markets. Equity Compensation Associate We are searching for a skilled Equity Compensation Associate to assist in the administration, compliance, and reporting of our global equity compensation initiatives. This role will oversee daily equity plan operations, manage equity systems, and collaborate with HR, Legal, Payroll, and Finance to maintain accurate and compliant equity administration. The ideal candidate will possess 3-4 years of direct experience managing equity plans in both public and private company settings and will excel in a fast-paced, high-accountability environment.

About JuniorAt Junior, we are innovating the future of investment research with our state-of-the-art LLM-powered tools designed specifically for elite deal teams. Our esteemed clientele includes many of the world's top 10 global private equity firms, renowned Big 4 professional services companies, and leading consulting practices, all of which manage billions of dollars in investments annually.As a profitable and self-sustaining company, we have built a dynamic team of approximately 28 talented individuals across our offices in London and New York. We experienced a remarkable 10x revenue growth in 2025 and anticipate further expansion of 2-3x this year. Junior's solutions are saving our clients an average of 10 hours per week, and we are rapidly expanding our reach into new sectors, including investment banking, hedge funds, and research firms. The RoleInvestment banking represents a significant opportunity for Junior. With transactions ranging from $100k to $2M in annual contract value (ACV), the workflows in this sector are primed for AI-driven transformation. This position offers the chance to pioneer our entry into this market, allowing you to develop your own strategies rather than merely following a pre-existing plan.We seek an individual who can confidently engage with senior executives in top-tier banks, including Chief Compliance Officers and Chief Technology Officers. It is vital that you possess a deep understanding of how investment banks operate, recognize their challenges, and effectively communicate the advantages of our AI-powered workflow solutions to influential stakeholders who are both intrigued and cautious.Your primary goal in your first year will be to generate £2-4 million in new revenue. You will take charge of the entire sales cycle—from identifying potential accounts to closing deals—while expertly navigating complex procurement processes, security assessments, and multi-stakeholder decision-making. ResponsibilitiesProspect and secure new business within the investment banking sector, targeting enterprise deals with ACVs between $100k and $2M, typically involving 6-12 month sales cycles.Develop and implement comprehensive account strategies for target banks, identifying key stakeholders, quantifying market opportunities, and pinpointing optimal entry points across compliance, technology, and business divisions.Conduct discovery meetings and product demonstrations with senior bank executives, effectively translating Junior's capabilities to address their specific workflows and pain points.Manage intricate enterprise procurement processes, including security reviews, data residency considerations, IT integrations, and planning for multi-team rollouts.Create and present a tailored C-level value proposition and ROI framework specifically designed for the investment banking segment.

Become a Part of Axiom's Legal TeamWe are on the lookout for a talented Equity Capital Markets Counsel to enhance our Corporate and Securities team. This pivotal role focuses on executing IPOs, ensuring SEC compliance, and structuring equity transactions. We need a proactive attorney with a solid history of advising on initial public offerings, registration statements, and ongoing obligations under the Securities Exchange Act of 1934, alongside a capability to support corporate governance and shareholder rights matters. The ideal candidate will possess extensive experience throughout the **equity lifecycle—from pre-IPO readiness and documentation to post-IPO compliance and transactions**—combined with strong transactional and regulatory expertise in corporate securities and equity capital markets.