Associate, Quant Research

BlackRock•San Francisco, CA

1d•$132,500 - $162,000•Hybrid

About The Position

BlackRock’s Systematic Active Equity (SAE) team is the quantitative equity group within its Systematic investment group. SAE uses systematic investment approaches across global equity markets and combines finance and economics with data and computer science. The team manages more than $200 billion in assets and includes quantitative finance researchers and portfolio managers, with access to specialists across BlackRock. 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’s hybrid work model currently requires employees 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 additional office time.

Requirements

Bachelor’s, Master’s, or Ph.D. in computer science.
At least 2 years of applied experience.
Desire to work in a team with computer scientists, data scientists, and quantitative investors from varied backgrounds.
Passion for algorithmic development and implementation, with keen attention to detail.
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.
Proven track record of delivering high-quality software.

Nice To Haves

Fascination with areas of computer science such as distributed computing, cryptography, and machine learning.
Working knowledge of serverless architecture, ideally with experience developing or contributing to projects in that area.

Responsibilities

Develop and implement algorithms and software supporting systematic equity investment and quantitative research.
Build and maintain data-management and computational solutions for 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.
Apply sound judgment and critical thinking to complex problems, adapt as the business evolves, explore new approaches and technologies, and rigorously challenge results.