BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services. The Quant Research Associate will evaluate and enhance quantitative model design and analyze large datasets to develop investment strategies.
Evaluate and enhance quantitative model design, portfolio construction, and implementation
Analyze large datasets to develop systematic investment ideas, signals, and strategies
Advance proprietary analytics and risk-visualization tools while automating repetitive workflows
Contribute across the full investment lifecycle, including signal research, implementation, portfolio construction, trading, and risk/return attribution
Identify and research market drivers and help evolve systematic risk management processes
Qualification
Required
Degree in a quantitative field such as finance, economics, computer science, engineering, mathematics, statistics, or physics
Strong knowledge of statistics, machine learning, and quantitative research methods
Experience working with large datasets, Python, SQL, and Unix/Linux environments and Agentic AI
Familiarity with cloud or distributed computing platforms such as AWS, GCP, or Azure
Detail-oriented, self-motivated, collaborative, and able to deliver high-quality work in a fast-paced environment
Preferred
Exposure to systematic investing, portfolio construction, or financial markets preferred
Benefit
An annual discretionary bonus
Benefits including healthcare
Leave benefits
Retirement benefits
A strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)
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.
BlackRock is an investment company that offers its services to institutions, intermediaries, foundations, and individual investors.