2,298 quantitative developer jobs at 1,076 companies in United States
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Quantitative Developer
Pasadena, California, United States
$134k-$158k/yrHybridFull Time
Franklin TempletonNYSE: BEN: Global investment firm providing asset and wealth management services.
3+ YOE3+ years in quantitative finance or investment management; strong Python/SQL/Linux; solid fixed income risk knowledge; experience with large financial datasets; degree in CS/Math/Engineering or a quantitative field.
Millennium Management: Global alternative investment firm managing diverse investment strategies.
3+ YOE3+ years as a financial engineer/data scientist/quant developer; strong Python and/or C++, Java, C#; SQL and PL-SQL/T-SQL; experience with Airflow, ETL, Linux, GitHub, CI/CD; Ph.D. or Masters in a quantitative field.
Arrowstreet Capital: Manages global equity portfolios using systematic quantitative models.
Bachelor's or Master's in CS with quantitative focus; strong Python (pandas, numpy); data analytics experience; production-grade Python; knowledge of statistics and time-series.
IMC: Global trading firm providing liquidity to financial markets.
5+ YOE3-7 years of quantitative software development; strong Python experience; knowledge of time series, backtesting, and ML for systematic strategies; low-latency systems preferred; ability to work across research and engineering.
Python, Pandas, Polars, Time Series, Backtesting, Machine Learning
BlackEdge Capital: Proprietary trading firm specializing in options market making.
Graduating 2027 in CS/Engineering or related; strong problem solving; knowledge of low-level CS areas; understanding of design patterns; interest in quantitative finance.
HarbourVest: Manages global private equity, credit, and infrastructure investments.
5+ YOE5+ years software development with production ML experience, strong Python and SQL, applied ML and MLOps skills, experience with model evaluation/monitoring, cloud/container deployment, and collaboration across data and product teams.
Clearwater AnalyticsNYSE: CWAN: Automated investment accounting and reporting software for institutional investors.
1+ YOE1–3 years quantitative development experience focused on securitized/structured products, strong understanding of deal mechanics and prepayment/credit models, production Python coding, and strong communication skills.
Octus: Provides global credit intelligence and financial data platform.
Bachelor’s in Mathematics, Computer Science, Finance, Economics, or similar; experience with Python, Java, or C#; strong quantitative and financial problem solving.
Python, Java, C#, Pandas, Numpy, RESTful APIs, AI tools
DRW: Technology-driven principal trading firm operating in global financial markets
2+ YOEBachelors or higher in CS/CE/technical field,2+ years production software experience in Python and/or C++,UNIX proficiency,strong CS fundamentals,software design,testing,performance,interest in ML/data systems.
Falcon Finance: Universal collateralization infrastructure for synthetic dollar and yield generation.
Strong software engineering (Python preferred); ML ops or distributed systems; crypto trading knowledge; production-grade live trading infra; blockchain data parsing.
Poesis: AI-native investment manager building foundation models for equity markets.
Strong Python (pandas, numpy, scipy, matplotlib), SQL, experience with coding agents (Claude Code, Codex), working with financial datasets, statistics/ML fundamentals, and a BS/MS/PhD in a quantitative field. Current US work authorization required.
Bank of AmericaNYSE: BAC: Provides global banking, investing, and financial risk management services.
1+ YOEBachelor's in CS or equivalent,1+ years relevant experience,strong Python and software engineering skills,experience with big data and quantitative methods,knowledge of SDLC and data pipelines.
2+ YOEBachelors in a quantitative discipline, 2+ years related experience, programming experience, strong quantitative aptitude, communication skills, and ability to implement research in code.
Charles SchwabNYSE: SCHW: Financial services, brokerage, and investment management provider.
Bachelor's degree or equivalent, proficiency in Python, experience building AI/LLM solutions, quantitative technology familiarity, strong communication and problem-solving skills.
Trexquant: Quantitative hedge fund developing systematic trading strategies.
BS/MS/PhD in a STEM field; strong C++ engineering skills; solid finance and options expertise; experience with options market data, implied volatility surfaces, options pricing, and backtesting infrastructure; strong problem-solving and teamwork.
Polymarket: A decentralized platform for trading on real-world event outcomes.
5+ YOE5+ years building and operating production data pipelines; strong Python; experience with Kafka, Flink, or Kinesis; cloud experience on AWS or GCP; strong debugging and data reliability skills.