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Associate, Modelling Data Scientist

External
BlackRock logoBlackrock · Palo Alto, CA
Full-timeOn-site2w ago
ComplianceData AnalysisJuliaMachine LearningPrototypingPython
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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.

Requirements

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

Benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.Our hybrid work modelBlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to wo

Additional Information

About this role BlackRock is a global leader in investment management, risk management and advisory services for institutional and retail clients! At 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 that include separate accounts, mutual funds, iShares® (exchange-traded funds), and other pooled investment vehicles. BlackRock also offers risk management, advisory and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions®. As of January 1, 2022, the firm had approximately 19,000 employees in 30 countries and a major presence in global markets, including North and South America, Europe, Asia, Australia and the Middle East and Africa! Since our founding 30 years ago, BlackRock has brought together great minds to drive innovation. From the beginning, we have been demonstrating technology for insight and efficiency to make our business better and to help clients realize the objectives they desire. In 2018 BlackRock accelerated innovation and technology again with additional investment in artificial intelligence and data science and all the potential they represent. The AI Labs was formed to act as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization. Our mission is to combine human and machine intelligence to revolutionize asset management. We are a hybrid research and product team and have a responsibility to drive towards commercial impact in the form of alpha generation, operational efficiencies, and cost reduction. Building on the success of systematic investment teams with a history of demonstrating machine learning at BlackRock to create alpha, the goal was to apply these same techniques throughout the business. Job Description As a researcher, you will collaborate with a distributed team of world-class academics, engineers, and investment professionals to develop methodologies for products solving a corporate-wide set of client, investor, and operational problems. Products developed often demonstrate multiple disciplines, including statistics, machine learning, and optimization, and combine original methods with innovative solutions available in industry and academia. You will be responsible for the entire research lifecycle, from initial research and prototyping, to iterating on the system methodology, to detailing the final product and clearing internal review processes.

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