Associate, Quant Research

BlackRock
San Francisco, CAPosted 2 May 2026

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. We are seeking a Systems Researcher who will primarily focus on computer science, data management, mathematical models, and computer simulations. The main skills for this role are outstanding execution of algorithmic development and software engineering. The Systems Researcher will be part of our investment and quantitative research teams. We have: $200bn billion USD under management. A team of world-class quantitative finance researchers and portfolio managers. Through BlackRock, access to some of the best investors and thought leaders, as well as to leading experts in statistics, machine learning, and optimization. A 40-year plus track record of performance and innovation. You have: The desire to work in a team environment with computer scientists, data scientists, and quantitative investors of many different backgrounds. A passion for algorithmic development and implementation, and a keen attention to detail. A fascination for some aspects of computer science: distributed computing, cryptography, and machine learning . Working knowledge of serverless architecture, ideally having developed or contributed to projects in that space. A Bachelors, Masters, or Ph.D. in computer science with 2 years of applied experience. A proven track record of delivering awesome software. Excellent knowledge of Python / Pandas, as well as Java or C/C. Well-rounded proficiency with Linux and UNIX systems. Experience in distributed computing and the use of GPUs 
For San Francisco, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
 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 e ... (truncated, view full listing at source)
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