G

Gairik Mitra

CEO

Bengaluru, Karnataka, India9 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Decade of experience in Quantitative Finance at Goldman Sachs
  • Expertise in systematic trading and alpha research
  • Strong proficiency in Python and statistical modeling
Stackforce AI infers this person is a Quantitative Finance expert specializing in systematic trading and risk management.

Contact

Skills

Core Skills

Quantitative FinanceSystematic TradingMarket RiskRisk ModelingRisk Management

Other Skills

AlteryxAnalytical SkillsArtificial Intelligence (AI)BacktestingCommunicationData AnalysisData ScienceDerivativesEngineeringFactor AnalysisFinanceFinancial ModelingFinancial RiskIBM SPSSMachine Learning

About

Quantitative Finance professional with a decade now at Goldman Sachs, focused on systematic trading and alpha research within Quantitative Investment Strategies (QIS). I specialize in applying advanced statistics, mathematics, and computer science to design, backtest, and scale systematic strategies across global markets. In my current role within the Commodities and Macro Systematic Trading framework, I have built and maintained medium-frequency strategies that capture Alternative Risk Premia from futures and options markets. My work spans volatility carry strategies, rolling futures programs in the commodity beta space, and intraday systematic signals, directly supporting institutional client portfolios. This has given me deep exposure to the design, validation, and live implementation of alpha strategies at scale. Earlier in my career, I gained exposure to quantitative risk modelling, developing expertise in market risk modeling, model validation, regulatory-driven analytics, and performance testing. This foundation sharpened my rigor in empirical model assessment and statistical testing, which I now apply directly to systematic research and strategy development. I bring a research-driven mindset, with strong proficiency in Python, C++, data analysis, and simulation frameworks, and a proven track record of translating theory into robust, production-level strategies. I continue to expand my expertise in systematic alpha research, factor design, and cross-asset strategies, driven by a passion for markets and quantitative innovation. Outside of work, I enjoy world cinema, classical music, and football, and I actively contribute to grassroots football initiatives in India.

Experience

Goldman sachs

6 roles

Vice President, Systematic Trading Strategies, Fixed Income Currencies and Commodities

Promoted

May 2022Present · 3 yrs 10 mos

  • The GS Systematic Trading Strategy operates as a worldwide platform within the Global Banking and Markets (Public) Division. Its primary objective is to offer investment solutions that capture Liquid Risk Premia across various markets, drawing upon robust academic research like Trend Following or Systematic Volatility strategies.
  • We collaborate closely with pension funds, asset managers, insurers, and wealth managers, tailoring customized solutions to fulfill their investment requirements while adhering to regulatory limitations.
  • Our platform harnesses Goldman's trading risk management culture and proprietary trading IT technology to enhance our capabilities.
StatisticsStatistical ModelingRisk EngineeringRisk ManagementMarket RiskQuantitative Risk Analysis+41

Vice President, Risk Architecture Strats, Risk Division

Promoted

Dec 2020May 2022 · 1 yr 5 mos

  • Global Lead, Market Risk VaR Backtesting, Micro Business Units
  • Equities (One Delta, Derivatives, Origination)
  • Credit (Global Credit Products, Origination)
  • Mortgages (Mortgage Trading, Mortgage Origination)
  • Global Liquidity Products
  • Led team of 4 Risk Strats responsible for model performance assessment and empirical testing of market risk (VaR) models. Ensured GMD businesses maintain approval for less punitive internal model based market risk capital.
  • Developed improved automation/scalability of infrastructure, and subject matter expertise of market risk factor modeling, P&L, VaR, backtesting, market risk capital regulations to develop data-driven analytics and remediation for VaR model deficiencies.
  • Managing relevant stakeholders to review model performance findings as well as recommend and track model enhancements
  • Responsible for relevant reporting, disclosure and data submission to regulators, senior management, risk committees
StatisticsRisk ManagementRisk EngineeringMarket RiskStatistical ModelingRisk Modeling

Associate, Risk Architecture Strats, Risk Division

Promoted

Dec 2018Dec 2020 · 2 yrs

  • Lead, Equities BU
  • SME in Equities VaR models, key contact reached out by members across divisions in the firm on questions associated with VaR models in Equities risk factors across One Delta, Derivatives, Origination businesses
  • Led pan-Market Risk effort to ensure market capital waiver approvals obtained from regulators across the globe during the March 2020 COVID-19 induced market crash
  • Co-lead, Goldman Asset Management Funds Backtesting team
  • Successfully onboarded GSAM funds into existing VaR backtesting infrastructure
Risk ManagementRisk EngineeringMarket RiskStatistical ModelingRisk Modeling

Senior Analyst, Risk Architecture Strats, Risk Division

Promoted

Dec 2016Dec 2018 · 2 yrs

  • Led Market Risk VaR backtesting for Equity One Delta, Equity Derivatives, Equity Origination business units
  • Actively collaborated with desk strats, P&L product controllers, Market Risk Specialists to identify and remediate risk modeling issues and optimize market risk capital held by each desk
  • Worked on Early Warning Signals of poor VaR model performance identified through suite of AI/ML techniques ranging from Logistic Regression to Neural Networks
  • Mentored summer interns
Risk ManagementRisk EngineeringMarket RiskStatistical ModelingRisk Modeling

Analyst, Market Risk Management and Analysis

Jun 2016Dec 2016 · 6 mos

  • Analyst in Market Risk Management and Analysis, with focus on Equity One Delta business.
  • Improved market risk factor models by raising/resolving issues identified through empirical model
  • testing and VaR backtesting
Risk ManagementRisk EngineeringMarket RiskStatistical Modeling

Intern, Market Risk Management and Analysis

May 2015Jul 2015 · 2 mos · Bengaluru, Karnataka, India

  • Expected Shortfall based VaR model testing
StatisticsRisk ManagementRisk EngineeringMarket RiskStatistical Modeling

Ministry of education, government of india

Intern, Central Statistics Office

Apr 2015May 2015 · 1 mo · New Delhi, Delhi, India

  • Mid-day meal scheme - Factor analysis to rank Indian states based on successful implementation of the scheme, and data-driven insights and recommendations for better implementation of the scheme in states with poor rank
StatisticsStatistical Modeling

Education

Indian Statistical Institute, Kolkata

M Stat — Statistics

Presidency University, Kolkata

Bachelor of Science

South Point High School, Kolkata

10+2

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