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Experience Level
Mid to Senior
Qualifications
Your Key ResponsibilitiesDevelop and maintain end-to-end systems that facilitate rapid transitions from research to production. Create high-fidelity simulation and backtesting infrastructure that accurately models latency, microstructure, and real-world constraints. Identify, compute, and curate features across various instruments, trading regimes, and temporal horizons. Manage feature and signal pipelines to ensure reliable and consistent delivery from research to execution. Engage in strategy optimization, balancing anticipated performance with practical constraints. Diagnose and troubleshoot issues across the full spectrum of research and execution. Your Skills and Experience3-7 years of experience in quantitative software development, ideally within a trading firm or systematic fund. Extensive proficiency in Python and C++, with a solid understanding of data analysis workflows (e.g., pandas, polars). Strong foundation in probability, statistics, and time series analysis; experience with backtesting and simulation frameworks is preferred. Deep understanding of machine learning concepts applicable to systematic strategies, from research through to production. Experience with low-latency systems is an asset. Capable of collaborating effectively across research and engineering teams.
About the job
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.
About IMC Trading
IMC Trading is a global trading firm recognized for its innovative research environment and state-of-the-art technology infrastructure. We have a rich history of leveraging technology and data to enhance trading strategies and remain at the forefront of the financial markets.
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Search for Quantitative Developer At Caxton Associates New York
Full-time|$150K/yr - $180K/yr|On-site|New York, New York, United States
About Caxton Associates:Established in 1983, Caxton Associates is a prestigious global trading and investment firm with a presence in major financial hubs including New York, London, Bengaluru, Monaco, Singapore, and Dubai. We specialize in managing both client and proprietary capital, offering a diverse range of investment products tailored to meet the unique needs of our investors. Our multi-portfolio manager framework allows us to excel in discretionary global macro investing, leveraging our vast expertise across various asset classes and markets.About the Role:We are seeking a talented Quantitative Developer to collaborate directly with a Portfolio Manager specializing in Global Macro strategies. In this role, you will thrive in a dynamic and entrepreneurial environment, tackling intricate challenges and contributing to innovative solutions.Key Responsibilities:Develop and implement systematic trading processes across multiple markets, ensuring seamless front-to-back execution and management.Oversee the development and maintenance of all code and models to maintain high-quality standards.Investigate the entire trading process to identify and mitigate risks, including potential intellectual property loss.Manage and analyze large datasets, ensuring effective data handling, construction, visualization, and application for model development.Leverage extensive market knowledge to guide informed decision-making, adaptable to various market conditions.Qualifications:Bachelor's degree in a quantitative discipline, preferably in computer science, engineering, mathematics, or a related field.Minimum of 3 years of relevant experience in quantitative development.Strong quantitative reasoning and software design capabilities.Proficient programming skills in Python.Ability to manage parallel workstreams and deliver quality solutions promptly.Meticulous attention to detail.Independent thinker with creative problem-solving skills.Goal-oriented with a positive and proactive attitude.Strong collaborative skills to work effectively within a team-oriented setting.Solid understanding of SQL and relational database fundamentals.Excellent verbal and written communication skills.Upholds the highest standards of ethics and integrity.Compensation:The annual base salary for this role ranges from $150,000 to $180,000, with actual compensation determined by factors such as relevant experience, seniority, business needs, and market demand. Successful candidates will also be eligible for a discretionary bonus.
Full-time|$120K/yr - $160K/yr|On-site|New York, New York, United States
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.
Full-time|$175K/yr - $175K/yr|On-site|New York, New York, United States
Company Overview:Founded in 1983, Caxton Associates is a premier global trading and investment firm with a robust presence in key financial hubs, including London, New York, Monaco, and Singapore. Our core business revolves around managing client and proprietary capital using sophisticated global macro hedge fund strategies. We engage in trading across diverse global markets and instruments, ensuring a wide-ranging investment approach.Program Overview:At Caxton Associates, we are dedicated to cultivating top-tier investment talent. Our commitment to professional growth is evident in the comprehensive two-year Associate Portfolio Manager (APM) Program, initiated in 2012. This exceptional program serves as a gateway for talented buy-side investors, distinguished sell-side traders, and elite quantitative analysts across various hedge fund disciplines, encompassing discretionary macro, systematic macro, emerging markets macro, systematic trading, equity long-short, and event-driven strategies.The APM Program provides participants with immersive experiences and intensive training, honing their investment acumen with the ultimate goal of advancing to a senior Portfolio Manager role within Caxton. Over a quarter of our current Portfolio Managers have successfully transitioned through this program, a testament to its efficacy.Candidate Requirements:We are on the lookout for candidates with 3 to 10 years of experience in asset management, hedge funds, or market making. The ideal candidate will demonstrate proficiency and preferably direct experience in implementing relevant investment strategies and understanding associated markets. We value entrepreneurial spirits who are eager to develop and expand their investment strategies. The ability to work independently while collaborating effectively with various stakeholders is essential, alongside a proven track record of continuous growth and adaptation.If you have a relentless passion for financial markets and possess a strong work ethic that aligns with the criteria outlined above, we encourage you to apply. Please submit your CV, investment track record (if available), and a detailed proposal of your investment strategy, as a comprehensive strategy outline is a crucial part of your application.We look forward to discovering your potential and welcoming your contributions to the ongoing legacy of Caxton Associates.
Full-time|$250K/yr - $250K/yr|On-site|New York, New York, United States
Company Overview: Established in 1983, Caxton Associates is a distinguished global trading and investment firm with a presence in major financial hubs including London, New York, Monaco, Singapore, and Dubai. Our core mission is to expertly manage both client and proprietary capital across a diverse range of liquid global hedge fund strategies. This broad mandate empowers us to engage in trading across international markets and financial instruments, emphasizing alpha generation for our clientele.The Role:We are actively seeking seasoned Portfolio Managers with expertise across various strategies, including but not limited to:Discretionary MacroEmerging Markets MacroEquity Long/ShortEvent-DrivenFixed Income Relative ValueMedium-Frequency SystematicCommoditiesIn this pivotal role, you will oversee a substantial capital allocation, apply extensive risk management protocols, and thrive in our collaborative, research-focused environment. We value insightful dialogue on global macroeconomic trends, geopolitical shifts, and market dynamics. We seek professionals capable of deriving distinctive insights within their investment domains, enhancing our strategic outlook, and utilizing collective expertise to generate alpha.Key Responsibilities:Independently manage a significant capital allocation by crafting, executing, and overseeing an alpha-driven investment strategy.Build portfolios aimed at achieving asymmetric returns, with minimal correlation to conventional capital markets, by recognizing and exploiting distinctive market perspectives.Implement stringent risk management practices, consistently evaluating the validity of all positions and investment hypotheses.Engage collaboratively within a global team, sharing knowledge and adding value through shared insights and expertise.Adhere strictly to all industry regulations and internal risk management protocols.
Full-time|$200K/yr - $225K/yr|On-site|New York, United States
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.
Full-time|$250K/yr - $250K/yr|On-site|New York, New York, United States
Company Overview: Founded in 1983, Caxton Associates is a premier global trading and investment firm with a presence in major financial hubs including London, New York, Monaco, Singapore, and Dubai. Our firm specializes in managing client and proprietary capital through diverse hedge fund strategies such as discretionary macro, systematic macro, emerging markets macro, systematic trading, equity long-short, and event-driven approaches. Our objective is to generate substantial alpha for our clients by trading across a wide array of global markets and financial instruments.The Role: We are on the lookout for seasoned Portfolio Managers with expertise in Equity Long/Short strategies. In this crucial position, you will manage a significant capital allocation while ensuring robust risk management practices across all active investments. At Caxton, we champion collaboration, encouraging ongoing discussions about global macroeconomic trends, geopolitical shifts, and market dynamics. Professionals who can distill critical insights from their investment universe to enhance the collective knowledge of the team will find an ideal environment to excel and drive alpha.Key Responsibilities: Independently manage substantial capital allocations by developing, executing, and monitoring effective Equity Long/Short strategies. Build portfolios that emphasize low net delta, balanced sector and industry exposure, and significant idiosyncratic risk attribution. Perform comprehensive market and industry analysis, alongside extensive fundamental and business cycle research. Implement rigorous risk management protocols, continually evaluating the merits of all positions and investment hypotheses. Collaborate in a global team setting, contributing to and leveraging collective insights and expertise. Maintain strict adherence to industry regulations and internal company policies.
Full-time|$250K/yr - $250K/yr|On-site|New York, New York, United States
Company Overview:Founded in 1983, Caxton Associates is a prominent global trading and investment firm with a presence in major financial hubs including London, New York, Monaco, Singapore, and Dubai. Our core business revolves around managing both client and proprietary capital through a diverse range of liquid global hedge fund strategies, such as discretionary macro, systematic macro, emerging markets macro, systematic trading, equity long-short, and event-driven approaches. With a commitment to alpha generation, we maintain a broad mandate to trade across various global markets and instruments.The Role:We are on the lookout for an accomplished Equity Long/Short Portfolio Manager with a proven track record of generating alpha in global consumer equities. In this critical position, you will be responsible for managing a substantial capital allocation and implementing robust risk management across all active investments.At Caxton, we prioritize collaboration, encouraging ongoing discussions about global macroeconomic trends, geopolitical shifts, and the dynamics of financial markets. This role is ideal for professionals who can derive significant insights from their investment universe, contribute to team discussions, and leverage collective knowledge to enhance alpha generation.Key Responsibilities:Independently oversee a significant capital allocation by developing, executing, and monitoring an Equity Long/Short strategy.Build portfolios that prioritize low net delta, balanced factor and industry exposure, and high idiosyncratic risk attribution.Conduct comprehensive market and industry research, as well as fundamental business analysis.Implement rigorous risk management practices, continuously evaluating the rationale behind all positions and investment theses.Collaborate effectively within a global team environment, sharing insights and enhancing collective expertise.Ensure compliance with all industry regulations and internal policies.
Full-time|$120K/yr - $150K/yr|On-site|New York, New York, United States
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.
Full-time|$150K/yr - $175K/yr|On-site|New York, New York, United States
Trexquant is a premier systematic hedge fund that employs cutting-edge machine learning and quantitative strategies to maintain a market-neutral portfolio. With a global presence spanning the U.S., China, and India, our innovative team of researchers, technologists, and finance experts is dedicated to advancing the field of quantitative finance.We are on the lookout for a motivated and detail-oriented Business Development and Strategy Associate to enhance our growing statistical arbitrage hedge fund. In this role, you will collaborate closely with the Chief Strategy Officer to identify new business opportunities, implement initiatives for process and product improvements, and drive the firm's growth through data-centric decisions. The ideal candidate will demonstrate robust analytical and project management abilities, along with an entrepreneurial mindset to expand our market presence and reinforce our competitive advantage.
Full-time|On-site|New York, New York, United States
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.
Full-time|On-site|New York, New York, United States
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.
Full-time|$108K/yr - $120K/yr|On-site|New York City
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.
Full-time|On-site|New York, New York, United States
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.
Full-time|$170K/yr - $220K/yr|Hybrid|New York, New York, United States
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
Join our dynamic team at mangroup as a Senior Quantitative Developer. In this pivotal role, you will leverage your expertise in quantitative analysis and software development to create innovative solutions that drive our trading strategies and risk management processes. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate with a team of talented professionals in the heart of New York City.
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.
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.
Full-time|$65K/yr - $65K/yr|Hybrid|New York, New York, United States
Join the dynamic Business Development team at Guidepoint, where we are dedicated to broadening our outreach to both new and existing clients. Our mission is to support Guidepoint’s diverse service offerings by fostering relationships and effectively communicating how our solutions empower clients to stay informed and enhance their business strategies. We are driven to create tailored offerings that enable potential clients to maximize their partnership with Guidepoint. In this position, you will collaborate with our Institutional Sales team to explore new business avenues among public and private market investors, particularly focusing on our Insights division. Insights serves as our proprietary research branch, developed by seasoned buy-side and sell-side professionals, providing access to topical group calls and a variety of content available across our entire platform. As specialists in various sectors, our coverage is designed to cater to a wide range of institutional clients, enhancing their investment processes. This is a hybrid position based out of our New York City office.
Dec 23, 2025
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