Job Description

We're partnered with one of the world's largest alternative asset managers for a position based in NYC. The firm has over a trillion in AUM company wide, we're engaged with their multi-asset investing group with ~$80b in investor capital. The team generates attribution, performance, optimization, and risk analytics across their platform. This specific group sits within their multi-asset investing platform conducting research, designing, and implementing systematic investment strategies.

Responsibilities: Portfolio Analytics, Quantitative Research, and Data Infrastructure

• Maintain and develop internal data solutions focused on creating scalable and computationally efficient data and analytics infrastructure.
• Develop performance and portfolio analytics across attribution, portfolio construction, portfolio optimization, and risk modeling.
• Conduct research through using advanced stat and ML techniques using both conventional and alternative data. Alpha signal construction

• Work cross functionally with other multi-asset investing teams like ops, treasury, and legal.

Qualifications:

• 5+ years of experience in a quant research function or capacity
• Hands on experience leveraging advanced machine learning and statistical techniques.
• Python required, C++ beneficial.
• Master's or PhD in a quant discipline
• Applied experience in macro and asset class specific market data management.
• In-depth understanding of risk frameworks, risk models, portfolio optimization, alpha signal construction, and portfolio simulation
• Deep experience with analyzing large data sets.

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