Ideal CandidatesPursuing an undergraduate or advanced degree in Computer Science, Machine Learning, or another quantitative field. Proficient in Python with a strong emphasis on production-level coding standards. Familiarity with Unix systems and shell scripting. Experience in cloud computing environments, ideally with AWS and Databricks. Knowledge of numerical Python libraries (e.g., NumPy, Pandas, PyTorch, etc.). Understanding of version control systems (e.g., Git) and CI/CD tools. Experience with profiling tools (e.g., cProfile, SnakeViz) and code optimization is advantageous. Background knowledge in statistics and machine learning is a plus. Self-motivated and capable of working independently as well as collaboratively within a small team. No prior experience in the financial services sector is necessary. Demonstrated commitment to the highest ethical standards.
About the role
Join the dynamic and innovative team at Point72 Internal Alpha Capture (IAC), where we are committed to shaping the future of quantitative equity trading. Our team is focused on creating advanced trading signals using cutting-edge machine learning techniques, rigorous research methodologies, and a diverse array of data sources, all powered by exceptional computational resources.
We are on the lookout for talented students to join us as Quantitative Developer Interns for the Summer of 2025. This is a unique opportunity to collaborate closely with industry experts, receive thorough training, and contribute to the development of impactful trading signals.
Your internship will provide exposure to a variety of projects, including:
Enhancing quantitative research platforms by integrating and benchmarking in-house and cloud technologies.
Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases.
Refining research and trading tools and infrastructure for improved efficiency.
About Point72
Point72 is a premier global alternative investment firm, founded by Steven A. Cohen. With over 30 years of investment expertise, we strive to deliver exceptional returns for our investors through both fundamental and systematic investment strategies across various asset classes and regions. At Point72, we are dedicated to attracting and nurturing the industry's top talent by fostering an investor-led culture that emphasizes long-term growth and development.
Similar jobs
1 - 20 of 5,375 Jobs
Search for Senior Quantitative Developer In Low Latency Trading
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|$150K/yr - $300K/yr|On-site|New York, New York, United States
Atto Trading, a leading quantitative trading firm established in 2010, is at the forefront of global high-frequency trading strategies. We invite a passionate Low-Latency Developer to enhance our dynamic team.Our diverse and international workforce comprises experts in trading, engineering, technology, and statistics. We pride ourselves on a disciplined approach complemented by rapid market feedback, enabling us to swiftly transform innovative ideas into profitable outcomes. In our collaborative and educational environment, we tackle some of the most complex challenges in the industry, maintaining a commitment to integrity, ingenuity, and excellence.Position Highlights:As we modernize our trading and research infrastructure to expand our alpha trading capabilities, this platform will empower researchers to analyze, test, and implement advanced signals, models, and strategies across various asset classes while meeting stringent latency requirements. In your role as a Low-Latency Developer, you'll be instrumental in designing, optimizing, and maintaining high-performance trading systems to ensure minimal latency.Your Mission and Goals:Evaluate and enhance the performance of low-latency trading systems by pinpointing bottlenecks and inefficiencies in the code, and implementing robust solutions.Adapt and develop our platform to meet the rigorous demands of a fast-paced trading environment, effectively managing technical debt.
Full-time|$175K/yr - $200K/yr|On-site|New York, New York, United States
Role overview Trexquant is looking for a High-Frequency Trading System Engineer in New York, New York. The focus of this position is to build and enhance ultra-low-latency trading infrastructure. Working closely with quantitative researchers and fellow technologists, the engineer will drive ongoing system improvements and innovation. What you will do Design and implement high-frequency, low-latency trading systems. Assess the current execution platform and lead a complete redesign. Increase system performance at both hardware and software layers, including optimizing CPU architecture, memory and cache usage, and network interfaces. Maintain a clean, well-tested, and thoroughly documented codebase. Requirements Advanced C++ and Linux skills, with strong understanding of low-level memory management, concurrency, and performance tuning. Experience building ultra-low-latency, high-throughput systems, ideally in trading or real-time environments. Expertise with profiling tools and methods for latency measurement and performance benchmarking. Hands-on knowledge of network protocols such as TCP/UDP, multicast, Ethernet, and low-latency messaging frameworks. Strong analytical and problem-solving abilities. Benefits Competitive base salary, with both guaranteed and performance-based bonuses linked to individual and company outcomes. Supportive, collaborative, and results-driven culture. PPO health, dental, and vision insurance for employees and dependents. Pre-tax commuter benefits. Additional company perks. Location details Applications are accepted for both the Stamford and New York City offices. The New York City location is expected to open in October 2026. Compensation Base salary ranges from $175,000 to $200,000, depending on education and experience. This is an overtime-exempt position. Trexquant is an Equal Opportunity Employer.
Join OmenAt Omen, we are on a mission to revolutionize the investment landscape by creating a unified platform that enables trading of every asset type with various leverage options—all in one place.Visualize the ability to trade spot equities and cryptocurrencies, utilize 10x leverage on Nvidia shares, short-sell startups, or even invest in tokenized real estate—all seamlessly without the hassle of navigating through disparate tools, brokers, or protocols.We believe that retail investing should match the sophistication and flexibility of institutional trading, while maintaining speed, accuracy, and security.Our dedicated team of 8 full-time engineers operates from a vibrant office in the heart of Midtown NYC, consisting of seasoned professionals in trading systems, startup veterans, and app developers, all committed to advancing our vision.Role OverviewAs a Low-Latency Market Infrastructure Engineer, you will be pivotal in developing the core infrastructure for our Decentralized Exchange (DEX). Your responsibilities will include building order matching systems, managing margin and funding mechanisms, overseeing liquidation processes, and bridging off-chain trading states with on-chain settlements. The choices you make will have a direct impact on the platform's safety, performance, and scalability.If you’re passionate about being one of the foundational engineers in a fast-paced startup environment, backed by leading venture capital partners, and eager to redefine the investment landscape for future generations, we want to hear from you.
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.
Full-time|On-site|New York, New York, United States
About the RoleJoin our dynamic team as a Low-Latency Software Engineer, where you'll leverage your expertise in high-performance, low-latency systems to optimize our cutting-edge trading platforms. Collaborating with quantitative researchers and developers, you will play a crucial role in designing and enhancing our rapid trading solutions.Our systems predominantly utilize OCaml, supplemented by minimal C and C++. While prior knowledge of OCaml or financial markets is not a prerequisite, a strong background in low-level systems programming and optimization in languages such as C or C++ is essential.
Full-time|$179K/yr - $226K/yr|On-site|New York City, NY
About Us:At FalconX, we are a pioneering team dedicated to transforming institutional access to the cryptocurrency markets. With our operations positioned at the crossroads of traditional finance and advanced technology, we tackle the most pressing challenges in the industry. Navigating the digital asset market can be intricate and disjointed, characterized by a lack of products and services that support diverse trading strategies and liquidity akin to traditional financial markets. FalconX serves as a comprehensive solution for all digital asset strategies, empowering our clients with seamless navigation through the constantly evolving cryptocurrency landscape.Location: New York City | Team: Trading Technology | Employment Type: Full-TimeAs a market leader in serving hedge funds, asset managers, and financial institutions, we are in the process of building a next-generation platform that facilitates high- and low-touch trading workflows across spot, derivatives, and structured products.Your Role:We are seeking a highly skilled Senior Trading Systems Developer with extensive experience in low-latency Java and/or Rust. You will be responsible for architecting and developing our cutting-edge trading applications and execution platform, which will be pivotal in supporting complex electronic trading algorithms, including automated market making and quantitative trading strategies. Your work will involve core components that are integral to our execution stack, such as market-data ingestion, order management, risk checks, session control, and high-throughput venue connectivity.In this role, you will design and create scalable, low-latency components that maintain resilience under heavy loads and are tightly integrated with our execution stack and internal trading frameworks.Key Responsibilities:Develop low-latency services on Aeron, including OMS/EMS components, market-data pipelines, and venue gateway connectivity.Integrate with exchange APIs utilizing FIX, REST, WebSocket, and venue-specific protocols.Model intricate order lifecycles, state machines, and execution workflows into robust, observable, fault-tolerant services.Design and maintain SBE message schemas and facilitate high-throughput message-bus communication on Aeron.Oversee the complete software development lifecycle (SDLC) for your domain: design, test, deploy, and monitor.Collaborate closely with quant, trading, infrastructure, and data teams to guarantee the execution stack operates effectively.
Full-time|$175K/yr - $250K/yr|On-site|New York, New York, United States
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
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|$150K/yr - $200K/yr|On-site|New York, New York, United States
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.
Full-time|$175K/yr - $225K/yr|On-site|New York City
Galaxy Digital Services is a global company focused on digital assets and advanced data center infrastructure. Based in New York City, the team builds products and services that support finance and artificial intelligence, with a strong emphasis on blockchain technology and digital asset innovation. The company operates across North America, Europe, the Middle East, and Asia, serving institutions, startups, and developers who are shaping the future of Web3 and AI. Under the leadership of CEO and Founder Michael Novogratz, Galaxy Digital Services brings together deep crypto expertise and institutional experience. The platform covers trading, investment banking, asset management, staking, self-custody, and tokenization technology, as well as investments in high-performance data center infrastructure for AI and computing needs in the United States. More information about the company's businesses and products is available at www.galaxy.com. Our Values Strive for Excellence. Be Selective for Greater Impact. Align Closely, Operate Freely. Embrace Open Disagreement. Foster Independent Decision-Making. Assemble Exceptional Teams. Role overview The Vice President of Quantitative Development will join the Crypto trading desk in New York City. This role focuses on collaborating with traders, quantitative analysts, and developers to design, implement, and refine market-making and quantitative trading strategies. The work environment values innovation, rapid iteration, and teamwork. Requirements Extensive experience in software development and quantitative analysis Strong understanding of financial markets, especially in FX and Crypto trading Ability to work closely with cross-functional teams to deliver trading solutions Your profile The ideal candidate brings a track record of technical proficiency and a collaborative approach. Success in this position requires a deep background in both programming and quantitative finance, with a focus on the unique challenges of digital asset markets.
Join our dynamic 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.
Full-time|Hybrid|New York, New York, United States
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.
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.
About Five RingsFive Rings LLC is a dynamic proprietary trading firm that integrates innovative strategies and cutting-edge technology to thrive in the fast-paced global markets. With a presence in New York, Boca Raton, London, and Amsterdam, we engage in a diverse range of trading activities across both traditional and niche markets. Our dedicated team is committed to identifying new opportunities, assessing their risks and rewards, and developing strategies and tools to harness them effectively.We foster an open culture that encourages the sharing of knowledge and ideas across all sectors of our firm.About the ProgramThe Winter Internship at Five Rings is an immersive 4-week program, running from early January through the end of January. Participants will engage in hands-on projects, classroom instruction, in-house strategy games, and mock trading sessions. Interns will collaborate closely with our trading team on research and development initiatives, guided by experienced mentors throughout various projects and competitions.The program features a series of insightful talks introducing crucial trading concepts, along with a variety of social activities such as strategic game nights and dinners in New York City.
About MonacoExperience lightning-fast execution and unmatched institutional depth with Monaco. Our platform, crafted by seasoned Wall Street professionals and innovative crypto builders from top-tier institutions, offers a comprehensive trading ecosystem for spot, perpetual contracts, and prediction markets. Our state-of-the-art execution engine is designed with a focus on performance, compliance, and capital efficiency, uniting diverse asset classes into a seamless trading experience. More than just an exchange, Monaco is establishing the future of a global trading network.The RoleWe are seeking a Lead Quantitative Developer to spearhead the design and implementation of systematic risk management frameworks. In this pivotal role, you will be responsible for the architecture, execution, and upkeep of Monaco's central risk engines across various products and asset classes. This is a unique opportunity to collaborate closely with our founders and contribute to delivering an unparalleled trading experience.Key ResponsibilitiesDirect the design and development of the core risk engine, including a sophisticated multi-instrument margining system that integrates both crypto and real-world assets.Influence the design and expansion of additional products (e.g., Decentralized Options Vaults, iterative looping vaults) with a priority on risk management.Who You AreOver 6 years of experience in systematic trading and/or quantitative development roles, particularly across diverse asset classes including both crypto and traditional markets.A thorough understanding of crypto market microstructure (including oracle design) and the risk management frameworks employed in existing centralized and decentralized exchanges, alongside traditional finance models (such as VaR, SPAN, SIMM).Proficient in Rust programming language.A proactive individual capable of generating ideas and executing them while maintaining a solid grasp of technical intricacies.Bonus qualifications:Previous experience on an exchange risk management team.Knowledge of low-level architecture and hardware optimization.
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.
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 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
Dec 8, 2025
Sign in to browse more jobs
Create account — see all 5,375 results
Tailoring 0 resumes…
Tailoring 0 resumes…
We'll move completed jobs to Ready to Apply automatically.