Associate, Modelling Data Scientist

BlackRock•Palo Alto, CA

3d•$137,500 - $167,500•Hybrid

About The Position

BlackRock is a global leader in investment management, risk management and advisory services for institutional and retail clients. As of January 1, 2022, BlackRock’s AUM was $10 trillion. BlackRock helps clients around the world meet their goals and overcome challenges with a range of products. The firm had approximately 19,000 employees in 30 countries and a major presence in global markets. Since its founding 30 years ago, BlackRock has driven innovation by leveraging technology for insight and efficiency. In 2018, BlackRock accelerated innovation and technology with additional investment in artificial intelligence and data science. The AI Labs was formed to act as a central hub with a firm-wide remit to solve strategic business challenges by bringing to bear expertise in machine learning, artificial intelligence, data science, and optimization. The mission is to combine human and machine intelligence to revolutionize asset management. This is a hybrid research and product team with a responsibility to drive commercial impact through alpha generation, operational efficiencies, and cost reduction. The goal is to apply systematic investment techniques, proven in creating alpha, throughout the business.

Requirements

PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field), OR an MS degree in a quantitative field plus 3+ years of professional experience in optimization, machine learning, statistics, exploratory data analysis, and other aspects of the data science process.
Strong theoretical background in and practical experience using optimization, statistical techniques, and machine learning, preferably proven through academic publications or open-source codebases.
Strong familiarity with programming languages such as Python, Julia, or R.

Nice To Haves

Experience with the analysis or application of data in finance, economics, sociology, or related fields is a plus.

Responsibilities

Work with partners to translate business needs into well-scoped technical projects.
Efficiently interact with large and complex datasets to evaluate technical methodologies.
Rapidly prototype technical solutions implementing groundbreaking tools from optimization and machine learning.
Produce technical whitepapers and make clear technical presentations to senior management.
Work with engineers and partners to build product-ionized solutions that are reliable, scalable, and operate in compliance with firm-wide processes.