Jay Singh Chauhan

Quantitative Engineering @ Goldman Sachs | UCLA Anderson MFE Graduate

Role
Quantitative Engineer at 高盛
Location
Dallas, TX, US
LinkedIn followers
500 followers

About Jay Singh Chauhan

Quantitative Engineer at Goldman Sachs with experience building production-grade analytics and modeling systems.I hold a Master’s in Financial Engineering from UCLA Anderson and a B.Sc. in Computer Science with a Mathematics minor from UBC. I’m passionate about solving complex financial problems with rigorous quantitative methods and clean, scalable software. Always open to conversations around quant research, trading, risk, and quant engineering.

Experience

  1. Quantitative Engineer

    高盛

    Jan 2025 — Present · Dallas, TX, US

    Designed and maintained performance, cash-flow, and projection models for private credit and private equity funds using the firm’s proprietary Slang quantitative framework, as well as a full-stack internal analytics platform using Kotlin, MongoDB, TypeScript, and React to deliver real-time fund performance data.

Education

  • Jamnabai Narsee School

    Science

    2012 — 2014

  • The University of British Columbia

    Bachelor of Science (B.Sc.), Computer Science

    2014 — 2018

  • UCLA Anderson School of Management

    Master's degree, Financial Engineering

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Jay Singh Chauhan — Quantitative Engineer at 高盛 in Dallas, TX, US | Unifers