Associate, Quant Research

BlackRock•San Francisco, CA

1d•$132,500 - $162,000•Hybrid

About The Position

BlackRock’s Systematic Active Equity (SAE) group is its quantitative equity team, investing client assets through a systematic approach across global equity markets. The team combines finance and economics with data and computer science, and manages more than $200 billion in assets. As a Systems Researcher, you will work with investment and quantitative research teams on computer science, data management, mathematical models, and computer simulations. You will apply algorithm development and software engineering to translate quantitative research and investment ideas into robust technology solutions. The role involves collaboration with computer scientists, data scientists, quantitative researchers, and investors on complex problems supporting systematic investing. BlackRock uses a hybrid work model. Employees are currently required to work in the office at least four days per week, with the flexibility to work from home one day per week. Some business groups may require more office time. In San Francisco, the stated salary range is $132,500 to $162,000, with eligibility for an annual discretionary bonus and benefits including healthcare, leave, and retirement benefits. BlackRock describes its benefits as including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off.

Requirements

Bachelor’s, master’s, or Ph.D. in computer science.
At least 2 years of applied experience.
Excellent knowledge of Python and Pandas, as well as Java or C/C++.
Well-rounded proficiency with Linux and UNIX systems.
Experience in distributed computing and use of GPUs.
Working knowledge of serverless architecture.
A proven track record of delivering software.
Passion for algorithm development and implementation, with keen attention to detail.
Desire to work in a team environment with computer scientists, data scientists, and quantitative investors from varied backgrounds.
Fascination with aspects of computer science such as distributed computing, cryptography, and machine learning.

Nice To Haves

Prior development or contribution to projects involving serverless architecture.

Responsibilities

Develop and implement algorithms and software supporting systematic equity investment and quantitative research.
Build and maintain data-management and computational solutions used by investment and quantitative research teams.
Design and evaluate mathematical models and computer simulations for research and investment applications.
Collaborate with computer scientists, data scientists, quantitative researchers, and investors to translate research ideas into robust software solutions.
Contribute to distributed-computing and high-performance computing solutions, focusing on reliability, scalability, and research effectiveness.
Use sound judgment and critical thinking to solve complex problems, adapt as the business evolves, and rigorously evaluate new approaches and technologies.