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BlackRock:Associate, Quantitative Researcher

San Francisco, CA, United States

Summary of duties: Work within the Portfolio Construction and Optimization team that is responsible for the development of a proprietary portfolio construction system and related optimization analytics. Responsible for performing quantitative financial research encompassing developing new approaches to handle advanced portfolio construction cases, to demonstrating the benefit of an optimized investment strategy through rigorous back testing. Charged with implementation of ideas into practical solutions, either within the optimization engine itself or in a separate product that invokes the engine. Provide support to both internal and external clients with their portfolio construction problems, as well as write clear and concise documentation of features and products. Prepare presentations to both internal and external clients. Develop rigorous back testing framework in Python for testing investment strategy, constructing portfolio and assisting with portfolio management across various asset classes. Demonstrate the changes of key statistics in optimization/back testing results with respect to different variables to assist portfolio management decisions. Assist in developing Systematic Portfolio Management and Trading Platform. Assist in implementing new features of optimization engine in various APIs and platforms. Assist clients with formulating/solving their portfolio construction problems.

Qualifications: Bachelor's degree in Computational Finance, Risk Management, Quantitative Finance, Finance, or a related field, and two (2) years of experience as a Quantitative Analyst or a related role. Two (2) years of experience with: performing multi-asset valuation and investment strategy generation; working with stochastic models and Monte Carlo simulations; using statistical analysis techniques to analyze financial time series; developing and implementing production financial models in R, Python, C++, or VBA; designing and coding of analytical and visualization toolkits for research and trading purposes; designing and backtesting quantitative strategies; and presenting technical financial topics to internal or external clients in both quantitative and non-quantitative roles.

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