Associate, Quant Research

BlackRock•San Francisco, CA

4d•$132,500 - $162,000•Hybrid

About The Position

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’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous 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. BlackRock – Systematic Active Equity Quantitative Researcher / Portfolio Manager - San Francisco Based in San Francisco, the Systematic Active Equity group (SAE) is seeking a candidate interested in quantitative research and portfolio management focusing on Greater China and Asia Pacific strategies. Responsibilities include generating new ideas, getting useful data and conducting signal research, solving implementation problems for multi-asset portfolios and improving risk management through the application of technology. Qualified candidates will have an interest in markets, strong technical skills to quickly implement research ideas, a passion in data and systematic driven investment approach, and an ability to thrive in an open and collaborative team environment. SAE is the quantitative equity group within BlackRock which invests over $250B of client assets using a systematic investment approach. SAE is a pioneer and thought leader in the industry and has consistently served clients with the highest standard for over 40 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 machine learnings and data science.

Requirements

Degree in a quantitative field preferred (e.g. quantitative finance/economics, computer science, engineering, mathematics and physics, etc.)
Strong understanding of statistical and machine learning concepts
Experience working with large data sets and machine learning models preferable, with ability to handle multi-language data preferred
Experience with Unix OS and large-scale distributed computing platforms (e.g. AWS, GCP, Azure), databases (e.g. SQL, Redshift, BigQuery), and data science programming languages (e.g. Python)
Strong sense of teamwork, contribute to and foster a culture of teamwork and knowledge sharing
Willingness to produce high quality work in a demanding, fast-paced environment
Detail-oriented, team-oriented and self-motivated

Responsibilities

Evaluate and improve model design, portfolio construction and implementation
Work with large data to develop investment ideas and strategies in a systematic and effective way
Progress proprietary analytics packages, developing innovative methods to visualize portfolio risk while automating away repetitive tasks
Participate in a full investment lifecycle including signal research, signal implementation, portfolio construction, trading and risk / return attribution
Identify and monitor factor exposures and event risks and evolve our process to systematically manage emerging factors