Subham Shaurav

Product Manager

United States6 yrs 10 mos experience

Highly StableAI ML Practitioner

Key Highlights

Expert in quantitative research and portfolio analytics.
Led development of AI tools enhancing operational efficiency.
Modernized risk management systems for a $5B+ platform.

Stackforce AI infers this person is a Fintech expert with strong quantitative analysis and machine learning capabilities.

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Skills

Core Skills

Quantitative Analysis (finance)Risk ManagementMachine LearningData ScienceProject Management

Other Skills

AI-powered tool developmentANSYSAutoCADCatiaComputer-Aided Design (CAD)Corporate FinanceDatabasesElectric VehiclesFinanceFinancial MarketsFlaskGenerative AIGreen EngineeringHTMLInstrument Modelling

About

Experienced in : - Quantitative research systems - Portfolio analytics - Risk attribution and management - Distributed data systems - Software product management

Experience

Massmutual

Investment Quantitative Developer - General Investment Account Analytics

May 2024 – Present · 1 yr 10 mos · Boston, Massachusetts, United States · Hybrid

As a part of the Investment Management's Quant R&D team, working on the following:
Instrument Modelling
Valuation & Pricing
Scenario Analysis
Instruments: Fixed Income & Derivatives

Instrument ModellingValuation & PricingScenario AnalysisQuantitative Analysis (Finance)Risk Management

University of illinois urbana-champaign

Applied AI Researcher

Sep 2023 – May 2024 · 8 mos · Chicago, Illinois, United States · Remote

Researched and developed 3 prototypes from ground up:
1. An AI-powered tool designed to automate competitor intelligence using LLMs to create a user-friendly chat interface, enabling analysts to effortlessly access a vast knowledge base sourced from thousands of web articles for an insurance company.
2. A knowledge discovery platform aimed at enhancing knowledge accessibility for new employees in the finance department of a food technology company. Focused on transforming complex, arcane manuals and process documents into an intuitive, AI-assisted knowledge repository.
3. Lead a 9 member student team for development of a AI and LLM powered grant tracking and research matching tool for DPI Chicago, aimed at optimising grant acquisition and enhancing collaboration between industry and academia.

AI-powered tool developmentknowledge discovery platformgrant tracking toolMachine LearningData Science

Ergoteles capital

Quantitiative Analyst - Equity Quantitative Analytics

Jul 2018 – Jul 2023 · 5 yrs · Hybrid

I led the strategic design and rollout of portfolio analytics and research infrastructure that became core to portfolio construction, risk management, and alpha generation across a $5B+ multi-asset platform.
I played a pivotal role in modernizing the firm’s quantitative capabilities—delivering scalable systems that supported 10,000+ daily trading positions, automated high-value research workflows, and enabled deeper insights into performance and risk.
My direct system builds included:
Multi Factor Hedging
PNL attribution
Equity trading volume prediction
Market risk modeling
Market impact cost models
Index tracking for systematic arbitrage