Quantitative Jobs in San Francisco, CA
Quantitative jobs in San Francisco concentrate in fintech, high-frequency trading, asset management, and technology across the Financial District, SoMa, and Mission Bay, with consistent demand from hedge funds, quant-driven banks, and data-intensive tech firms. Employers hiring right now include Merck, BlackRock, and MSCI. Scan the live roles below and apply to whichever ones fit.
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Locations: San Francisco, California
Job description
About this role
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions — from meticulous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
Elevate your career by joining the world's largest asset manager! Thrive in an environment that cultivates positive relationships and recognizes outstanding performance! We know you want to feel valued every single day and be recognized for your contribution. At BlackRock, we strive to empower our employees and actively engage your involvement in our success.
Systematic Active Equity (SAE) is the quantitative equity group within BlackRock’s Systematic investment group. We invest our client assets using a systematic investment approach. SAE is a pioneer and thought leader in the industry and has consistently achieved client investment goals across global equity markets for over 30 years. We believe research and innovation are critical to continuing our success and believe in a multi-disciplinary approach that intersects traditional finance and economics with data and computer science.
Responsibilities:
Execute portfolio rebalances and generate trade lists aligned with model views and evolving market conditions.
Conduct performance attribution to assess signal effectiveness and risk-factor contributions.
Enhance model design, portfolio construction, and implementation through systematic research.
Identify and monitor key factor exposures and event risks; develop scalable processes to manage emerging risks.
Advance proprietary analytics tools by creating visualizations and automating repetitive workflows.
Oversee investments across the entire signal lifecycle—from alpha research and portfolio construction to execution and attribution.
Engage with internal and external research (e.g., academic papers, conferences, sell-side reports) to identify novel data sources and strategy ideas.
Lead the development, deployment, and monitoring of systematic equity signals.
Apply machine learning frameworks to scale feature discovery, construction, selection, and combination.
Implement state-of-the-art NLP techniques and LLM workflows across unstructured text data and related tasks.
Skills & Qualifications:
0–2 years of experience in the financial industry.
Strong foundation in statistical and machine learning methodologies.
Hands-on experience with large-scale data processing using SQL and Python.
Proficient in Python (Pandas, NumPy), Scikit-Learn, XGBoost/LightGBM, TensorFlow, and PyTorch.
Familiarity with Unix-based systems, AWS (EC2, EMR, S3), Hadoop, and common data transfer protocols (FTP/SFTP).
Deep understanding of financial economics, portfolio construction, analytics theory, and behavioral finance.
Proficient in managing and querying structured and unstructured datasets, including data ingestion from internal/external databases.
Applied experience in natural language processing and large language model (LLM) pipelines, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window).
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement( opens in new window) and the pay transparency statement( opens in new window).
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com( opens in new window). All requests are treated in line with our privacy policy( opens in new window).( opens in new window)
We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.R264912
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Who's Hiring



Top Industries Hiring
- Education
- Investment & Asset Management
Quantitative Jobs in San Francisco: Frequently Asked Questions
How do I get a quantitative job in San Francisco?
Focus your search on the Financial District for trading and asset management roles, SoMa for fintech and tech-adjacent quant work, and Mission Bay for data science and research positions. Firms here lean heavily on coding fluency alongside mathematical rigor, so demonstrated Python or C++ skills in a portfolio give you a concrete edge. Networking through local quant finance meetups and university research connections at UC Berkeley and Stanford carries real weight in this market.
Which companies hire quantitatives in San Francisco?
Companies currently hiring quantitatives in San Francisco include Merck, BlackRock, and MSCI, per current listings on Migrate Mate as of July 2026. San Francisco's employer mix runs from major investment banks and hedge funds in the Financial District to fintech startups and large technology companies with dedicated quantitative research teams.
Are there remote quantitative jobs in San Francisco?
Yes, though availability depends heavily on the role: pure research and modeling positions tend to be more remote-friendly, while trading-desk and real-time execution roles almost always require on-site presence. About 70% of quantitative openings tied to San Francisco are remote or hybrid as of July 2026, with the remote options concentrated in data science and risk analytics rather than active trading functions.
How can I get a quantitative job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is targeting junior quantitative analyst or quantitative research associate roles at mid-size fintech firms and asset managers, which hire more entry-level talent than bulge-bracket banks. Internship pipelines from UC Berkeley's IEOR and statistics programs feed directly into local firms. Building a public portfolio of financial modeling or ML projects, then reaching out to small quant trading shops in the Financial District, gives early-career candidates a practical opening.
Which industries hire the most quantitatives in San Francisco?
The sectors hiring the most quantitatives in San Francisco are Education and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. San Francisco's position as both a global financial hub and a major technology center creates unusually deep demand across both traditional quant finance disciplines and newer data-driven product and risk functions.
Related Jobs in California
See All 15 Quantitative Jobs in San Francisco
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