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BlackRock, Inc.

Quantitative Researcher, Associate

BlackRock, Inc. - New York City, NY

Quantitative Researcher, Associate','180050','!*!

BlackRock Solutions (BRS) maintains a global team of financial modeling professionals, known as the Financial Modeling Group (“FMG”), which is responsible for the ongoing research and development of all analytics underlying Aladdin. FMG’s mandate to deliver robust, scalable models and solutions requires a close working relationship with Risk and Quantitative Analysis (RQA), the global investment teams and the Aladdin Product Group.FMG is looking for a senior quantitative researcher to help build out BlackRock’s risk analytics capability to support both BlackRock’s alternatives businesses as well as BlackRock Solutions’ Aladdin clients.  BlackRock’s Alternative investment strategies include BlackRock Alternative Advisors, Private Equity Partners, Alternative Solutions Group, Real Estate, Infrastructure and Renewable Power. BlackRock Solutions’ Aladdin clients have portfolio holdings spanning all investible asset classes.The successful candidate will work closely with the alternatives risk and portfolio management teams to develop risk models and analytics.  These models and analytics will be delivered to third party BlackRock Solutions Aladdin clients.Job Description: The quantitative researcher’s responsibilities will include:Developing portfolio risk models covering both liquid and illiquid alternative asset classes.Specification of factor-based risk models through original empirical research and collaboration with senior BlackRock risk and portfolio managers.Developing innovative techniques to process private asset investment data for modeling purposes.Calibration and back testing of risk models.Communicating new models through white papers and directly to BlackRock risk and investment management teams, as well as BlackRock Solutions Aladdin clients.Collaborating with software developers to integrate models into BlackRock’s risk management, optimization and portfolio construction tools.Skills & Qualifications: Successful candidates will possess the following:Outstanding empirical research skills, strong academic credentials (PhD in quantitative field) and a passion for creative and critical thinking about financial markets.Experience in developing factor models for alternative asset classes including hedge funds, private equity, real estate, infrastructure and other real assets is a major plus.Deep knowledge of econometrics (including time series econometrics), statistics, natural language processing, portfolio theory, theoretical and empirical finance.Familiarity with commonly used statistical/econometrics methods and statistical scripting languages such as R.Excellent communication skills; must be able to explain quantitative analyses and research findings to research and non-research audiences.A desire to work cooperatively and diligently as part of a small, focused team.

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, disability, veteran status, and other statuses protected by law.

','!*! ','Analytics','Americas-United States-New York','','BRS-Analytics/Modeling','Jan 12, 2018','Quantitative Researcher, Associate

3 days 9 hours ago

BlackRock, Inc.

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Quantitative Researcher, Associate BlackRock, Inc. - New York City, NY, United States

   

Location: New York City, NY

Company Profile:
BlackRock is the world’s largest asset manager, and our business is investing on behalf of our clients, from large institutions to the parents and grandparents, the doctors and teachers who entrust their savings to us. We work only for our clients—period. Our promise is to offer them the clearest thinking about what to do with their money and the products and services they need to secure a better financial future. That’s why investors of all kinds entrust us with trillions of dollars, and it’s why companies, institutions and global governments come to us for help meeting their biggest financial challenges.