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Top Quantitative Finance Jobs 2026
Explore a variety of software development, trading, and research roles at quantitative finance companies and hedge funds, carefully selected by the founders of Simplify, a YCombinator backed startup. These opportunities are ideal for those interested in a career in quantitative finance and seeking to work with some of the most innovative and dynamic companies in the industry. All the roles listed are from vetted companies, ensuring a valuable and secure experience. Joining a quantitative finance company or hedge fund can be a great way to be a part of a fast-paced, innovative, and ambitious industry and gain valuable experience in the process!





- yesterday
DRWAssistant Controller - Accounting Operations$130k - $170kChicago, IL$130k - $170kyesterday - yesterday
Hudson River TradingImmigration Specialist$115k - $140kNew York, NY$115k - $140kyesterday - yesterday
WorldQuantQuantitative Developer - Platform & Operations$125k - $175kOld Greenwich, Greenwich, CT$125k - $175kyesterday - yesterday
WorldQuantSenior EngineerNew Delhi, IndiaNot listedyesterday - yesterday
Tower Research CapitalMachine Learning Performance Engineer - Inference$200k - $300kNew York, NY$200k - $300kyesterday - yesterday
OptiverHead of Observability PlatformSydney NSW, AustraliaNot listedyesterday - yesterday
Bridgewater AssociatesAssociate – Client Service Operations$135k - $200kWestport, CT$135k - $200kyesterday - yesterday
SchonfeldDirector of Systematic COO Office$225k - $275kNew York, NY$225k - $275kyesterday - yesterday
Akuna CapitalTax ManagerSydney NSW, AustraliaNot listedyesterday - 1d
Jump TradingConstruction Project Manager$200k - $250kNew York, NY$200k - $250k1d - 2d
Tower Research CapitalSoftware Engineer 2Gurugram, IndiaNot listed2d - 2d
Jump TradingTech Services HelpdeskLondon, UKNot listed2d - 2d
Jane StreetAccounting CoordinatorNew York, NYNot listed2d - 2d
DRWOffice Space PlannerLondon, UKNot listed2d - 2d
Tower Research CapitalQuantamental ResearcherNew York, NYNot listed2d - 2d
Jane StreetRegulatory Exam ManagerNew York, NYNot listed2d - 2d
DRWSoftware DeveloperLondon, UKNot listed2d - 2d
DRWCloud Performance Engineer - Cloud Performance TeamLondon, UKNot listed2d - 2d
DRWSenior Software Engineer - Treasury and Reference Data - Java/Ruby/PythonChicago, ILNot listed2d - 3d
SchonfeldDirector of Human Capital ManagementLondon, UKNot listed3d - 3d
WorldQuantSenior AI Software DeveloperLondon, UKNot listed3d - 3d
WorldQuantAI Software DeveloperLondon, UKNot listed3d - 3d
Tower Research CapitalSoftware Engineer 2Gurugram, IndiaNot listed3d - 3d
DRWSenior Tax AssociateLondon, UKNot listed3d - 3d
Jump TradingResearch Scientist/Research Engineer - Reinforcement Learning$200k - $350kLondon, UK$200k - $350k3d - 3d
Jump TradingDigital Modem Engineer$150k - $250kLondon, UK$150k - $250k3d - 4d
Tower Research CapitalAssociate – FinanceGurugram, IndiaNot listed4d - 4d
Tower Research CapitalMachine Learning Research Engineer$200k - $300kNew York, NY$200k - $300k4d - 4d
OptiverGraduate FPGA Engineer$200kChicago, IL$200k4d - 4d
DRWQuantitative Trading AnalystLondon, UKNot listed4d
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Explore our FAQ section to learn more.
The firms on this list are the proprietary trading shops and quantitative hedge funds that do most of the hiring. Jane Street, Optiver, DRW, Jump Trading, Hudson River Trading, Tower Research Capital, Virtu Financial, Five Rings Capital, Akuna Capital, Belvedere Trading, and Valkyrie Trading are trading firms that make markets or trade their own capital. WorldQuant, Bridgewater Associates, PDT Partners, Schonfeld, and Vatic Investments sit closer to the hedge fund side, running systematic strategies for investors. Investment banks also hire quants in volume, mostly for pricing and risk. Hiring volumes are small everywhere in this field, so check each firm's careers page directly.
A quant researcher designs the models: finding patterns in data, testing whether a signal holds, and turning it into a strategy. The work is closest to academic research and usually expects the deepest mathematical background. A quant trader runs strategies in live markets, manages risk, and makes judgement calls when conditions change, which requires fast thinking under pressure more than long-form research. A quant developer builds the infrastructure that makes both possible, including trading systems, data pipelines, and low latency execution. Pay across the three is broadly comparable at good firms. Read the responsibilities rather than the title, since usage varies.
It is harder but far from impossible. Trading firms fill a large share of graduate seats from their own interns, so applying without one means competing for a smaller pool of remaining places. The candidates who succeed usually bring something equivalent: a graduate degree in a quantitative field, research or competition results, or experience from an adjacent role such as software engineering, data science, or a bank's risk team. Experienced hiring is a genuinely open door, and several firms recruit heavily from technology companies for developer roles. If you are still studying, an internship remains the single highest-leverage move.
For research roles at hedge funds, frequently yes or close to it, since those positions compete with academia and expect published work or equivalent depth. For trading roles, no, and many trading firms prefer strong undergraduates who think quickly under pressure. For developer roles, no, and an excellent engineering background matters far more. Where a PhD helps most is in signal research, derivatives pricing, and machine learning heavy strategies. Where it helps least is anywhere the job is fundamentally about speed and systems. Look at what the specific role requires rather than assuming the field has one standard.
Among the highest of any entry point for a new graduate, and the reason competition is extreme. Total compensation at the top trading firms typically combines a substantial base salary with a bonus that can equal or exceed it, and that bonus varies with both firm and individual performance. Hedge funds often pay comparably with more variance. The important caveats: the headline figures circulating online usually describe the very top firms in a good year, second-year numbers depend heavily on performance, and job security is lower than in technology since underperforming strategies and teams get cut. Treat any single reported number as unrepresentative.
Longer and more technical than most, and heavily weighted toward mental agility. Expect probability and statistics problems, brainteasers designed to see how you reason rather than whether you know a fact, mental arithmetic under time pressure at trading firms, and coding tests that are usually harder than a standard software interview. Research roles add discussion of your past work and open-ended modelling questions. Developer roles concentrate on systems, data structures, and performance. Most firms run several rounds and reject at a high rate throughout. Practising speed matters, because many of these tests are as much about pace as correctness.
Better than banking and more intense than most technology jobs. Trading roles follow market hours, which means early starts and a hard stop when markets close, and the day is concentrated rather than long. Research and development roles look more like a demanding engineering job, typically fifty to sixty hours a week, with periods of heavier work around deadlines. The culture at most of these firms is flat, direct, and openly focused on results, which some people find refreshing and others find harsh. Feedback is blunt. The pressure comes less from hours than from being measured continuously.
Yes, and this is one of the more common paths into the field. Quant developer roles hire directly from technology companies and value low latency systems work, C++ ability, and distributed systems experience, none of which require finance knowledge upfront. Data scientists move into research roles more easily when they have strong statistics and can show rigorous work on noisy data, which market data very much is. The gap to close is usually domain knowledge and interview style rather than raw ability. Expect the interviews to be harder than what you are used to, particularly on probability and speed.
Many of the larger ones do, and this field sponsors more readily than most of finance because the talent pool is genuinely small and international. Several of the biggest trading firms hire substantial numbers of international graduates and have established immigration processes. Smaller firms are less consistent. Two constraints worth knowing: some roles touching US government securities or regulated broker functions carry registration requirements, and smaller firms may lack the legal capacity even when willing. Ask early rather than late, since timelines matter for start dates. This is general information, not immigration advice.