253 quantitative developer jobs at 148 companies in Santa Clara, CA
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Quantitative Developer
Menlo Park or San Francisco
$180k-$280k/yrHybridFull Time
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.
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.
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yrOnsiteFull Time
WorldQuant: Develops systematic investment strategies through quantitative research and data.
Undergraduate or advanced degree in a quantitative field; programming in Python and/or C++; Linux experience; strong problem-solving and quantitative skills; interest in financial data, machine learning, and data engineering.
Arcadia Science: Translates evolutionary biology into novel therapeutics and research tools.
3+ YOEPh.D. or equivalent with 3+ years post-PhD scientific experience; expertise in statistically driven experimental design, image analysis, machine learning on biological data, Python/R proficiency, pipeline and software development, and direct bench experience.
MSCINYSE: MSCI: Provides critical decision support tools for the investment community.
PhD or MS in quantitative field; strong Python; AI tooling experience; AI/LLMs in workflows; data analysis with large-scale data; econometrics; independent; finance knowledge preferred.
Python, AI tooling, ML frameworks, Data infrastructure tools
OpenAI: Develops artificial intelligence models and generative AI software services.
3+ YOE3+ years in quantitative intelligence or risk research, experience with statistical modeling and data mining, familiarity with trust & safety domains, and strong communication and critical thinking.
Quantitative Researcher for Risk and Research Engagement
Chicago or New York City or San Francisco
$150k-$180k/yrHybridFull Time
Comity: Provides a clearing platform for renewable energy transactions.
Strong quantitative background, experience building quantitative risk/portfolio models, performance attribution, portfolio optimization, strong Python skills with large datasets, and ability to partner with PMs and risk teams.
Waymo: Autonomous driving technology for ride-hailing and logistics.
4+ YOEBS in a quantitative field; 4-7 years experience; strong C++, Python, SQL skills; data analysis; building data pipelines; ML familiarity; strong coding standards.
C++, Python, SQL, Machine Learning, Data Processing, Statistics
MSCINYSE: MSCI: Provides investment decision support tools and financial analytics.
MS/PhD in Finance, Statistics, Computer Science, Engineering; strong Python; experience with AI tooling; data infrastructure; econometrics; ability to drive projects independently; finance/risk modeling knowledge preferred.
Python, AI development tools, Large-scale data tooling, Econometrics software
Quantitative Research Associate - Systematic Portfolio Construction
Los Angeles or San Francisco or New York or California or United States
$159k-$255k/yrOnsiteFull Time
Capital Group: Providing active investment management and research-driven financial strategies
5+ YOE5+ years relevant experience in optimization and systematic portfolio construction; advanced degree preferred; expertise in Python/Julia/R and optimization software (Gurobi or Mosek); strong quantitative, econometrics and communication skills.
Principal Machine Learning Engineer (Reconstruction / Quantitative Imaging)
San Francisco, California, United States
OnsiteFull Time
Midjourney: Independent research lab developing generative AI and medical imaging technology.
Strong applied ML experience with imaging or signal processing, ability to move between research prototypes and production systems, strong evaluation discipline, and experience applying ML to physics-based/inverse problems.
Senior Staff Scienitst-Quantitative Modeling, AI & Pharmacometrics
San Francisco, California, United States
OnsiteFull Time
UCSF Health: Academic medical center providing advanced patient care and research.
5+ YOEBachelor's in computational/data science or domain science with computational focus; 5+ years relevant experience; advanced pharmacometrics/MIDD knowledge; Python and/or R programming; experience with mechanistic, PK/PD, Bayesian or ML models; scientific leadership and communication skills.
Group Leader - Senior Director, Quantitative Pharmacology and Pharmacometrics - Cardiometabolic
Rahway or Boston or San Francisco or West Point
$210k-$331k/yrHybridFull Time
Merck & Co.NYSE: MRK: Produces prescription medicines, vaccines, and animal health products.
10+ YOEDoctorate (Ph.D./PharmD) with 10+ years drug development/regulatory experience; leadership experience; expertise in translational PK/PD, pharmacometrics, regulatory strategy, and cross-functional collaboration.
Nuro: Builds autonomous driving software and electric delivery robots.
BS in CS/Robotics or quantitative field; experience with distributed systems, data storage/processing, C++/Python, multithreading, and performance tuning; strong problem-solving; able to develop and debug production code.
Imagry: Mapless autonomous driving software for vehicle manufacturers.
3+ YOEMSc (or equivalent experience) in quantitative field, 3+ years developing deep learning algorithms, strong computer vision and math skills, PyTorch and Python proficiency, English fluency, eligible to work in the US.
Senior Developer Relations Manager, Capital Markets
New York or Santa Clara or California or New York
$224k-$431k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
12+ YOEBachelor's or higher in CS/Engineering (or equivalent experience); 12+ years in tech or finance with 8+ years in capital markets; deep technical expertise in HPC, quantitative finance, AI/ML; proven developer relations and partnership experience; strong communication.
Lawrence Berkeley National Laboratory: Conducts scientific research to address global challenges.
PhD (recent within 1–2 years) in related quantitative fields, programming in Python, Linux experience, strong math and communication skills, <3 years postdoctoral experience preferred.
TotalEnergiesEuronext Paris: TTE: Produces and markets fuels, natural gas, and low-carbon electricity.
10+ YOELead nodal markets and quantitative analysis; manage team; develop models; collaborate with cross-functional teams; 10+ years experience in energy markets.