Divyanshu Kashyap

Product Manager

New Delhi, Delhi, India1 yr experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in algorithmic trading and quantitative finance.
  • Developed multiple successful trading algorithms.
  • Strong background in both technology and finance.
Stackforce AI infers this person is a Fintech professional with expertise in algorithmic trading and quantitative analysis.

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Skills

Core Skills

Algorithmic TradingQuantitative Finance

Other Skills

AI AgentsAPI IntegrationAlgorithm DevelopmentAlgorithmsAlpha GenerationAnalytical SkillsAnalyticsAutomated Strategy RunsAutomated TradingBacktestingBacktesting EngineBrand ManagementBusiness NegotiationC++CRM

About

Undergraduate at IIT Roorkee with a strong background in technology and finance. My focus lies in algorithmic trading, quantitative finance, and designing scalable systems. Technical experience in: • Application backend development • DevOps: Kubernetes, CI/CD pipelines • Developing backtesting frameworks • Building platforms to deploy, monitor and control live trading strategies and bots Worked with equities, options, and commodity instruments in both Indian and US markets. I have implemented strategies spanning: • Volatility, spreads, and arbitrage-based trading • Machine Learning: Regression, KNN, Random Forest, Factor modeling Currently I am working on: • DevOps certification • Project Management If any of this resonates with you or can be helpful to you or your business then let’s connect! I’d love to collaborate and discuss synergies.

Experience

2cents capital

Quantitative Developer

Feb 2025Aug 2025 · 6 mos · Greater Bengaluru Area · Hybrid

  • Built the FnO infra for backtests, forward tests, and live trades aligned to the company's legacy stack
  • Deployed market data feed pipeline; powering 1000+ strategy containers with sub-70ms P 95 latency at scale
  • Working alongside the CEO and team on CX, CRM, Sales and Product Management of Valura.ai
BacktestingMarket Data Feed PipelineStrategy DeploymentCRMSales ManagementAlgorithmic Trading+1

Vt capital market private limited

Quantitative Developer

Mar 2024Sep 2024 · 6 mos · Kolkata, West Bengal, India · Hybrid

  • Built a custom backtesting engine for index-options — fast, flexible, and tuned for real strategy logic
  • Designed a risk layer that handled hedging, filtered illiquid trades, and kept the VAR in check
  • Automated strategy baskets that ran live — my first time experience in live deployments with large funds
Backtesting EngineRisk ManagementStrategy AutomationAlgorithmic TradingQuantitative Finance

Resoenix capital

Algorithmic Developer

Dec 2023Jan 2024 · 1 mo · Delhi, India · Hybrid

  • Learned what actually goes into real-world strategies — backtested equity stat-arb, commodity spreads, basic options setups
  • Wrote my first meaningful backtest scripts and explored execution via IB, Kite, XTS APIs
  • Got my hands dirty with strategy deployment under live constraints
  • Project got rolled off due to founder's other professional commitments
BacktestingStrategy DeploymentExecution APIsAlgorithmic Trading

Tinkering lab, iit roorkee

Quantitative Developer

Oct 2023Feb 2024 · 4 mos · Roorkee, Uttarakhand, India · On-site

  • A college-led startup where we explored quant and challenged ourselves to outperform the market.
  • Explored from DTW, KNN, Gann cycles, regime shifts to factor models — just to see what sticks
  • Built 14 cash market algos that ran in paper trading and returned over 20% in 3 months
  • Implemented factor modelling and used GARCH-based Monte Carlo for risk optimization
Algorithm DevelopmentMarket AnalysisRisk OptimizationAlgorithmic TradingQuantitative Finance

Worldquant

Brain Research Consultant

Jun 2023Sep 2023 · 3 mos

  • My first real dive into quant — worked on generating 20+ alphas for the US equity market
  • Through this, I started to grasp what makes a signal statistically work — and where overfitting can hide
  • Optimized for Sharpe and correlation, automated strategy runs via their platform
Alpha GenerationSignal OptimizationAutomated Strategy RunsQuantitative Finance

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology - BTech — Mechanical Engineering/ Management

Nov 2022Jan 2026

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech — Information Technology

Dec 2021Sep 2022

Kendriya Vidyalaya

Jan 2011Jan 2021

The Air Force School (TAFS), Subroto Park

Apr 2009Jun 2011

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