Harshit Sharma

Business Development Executive

Kanpur Nagar, Uttar Pradesh, India3 yrs 2 mos experience

Key Highlights

  • Expert in algorithmic trading with proven returns.
  • Strong background in equity research and risk analysis.
  • Top academic performer with multiple prestigious degrees.
Stackforce AI infers this person is a Fintech professional with strong expertise in algorithmic trading and risk management.

Contact

Skills

Core Skills

Algorithmic TradingRisk Management

Other Skills

Portfolio optimizationQuant trading strategies

Experience

3 yrs 2 mos
Total Experience
1 yr 2 mos
Average Tenure
10 mos
Current Experience

J.p. morgan

Equity Research Analyst

Jul 2025Present · 10 mos · Mumbai, Maharashtra, India · On-site

  • Covering Indian Internet, Tech and Telecom stocks

Barclays

FX & Rates Trader

Apr 2024Jul 2025 · 1 yr 3 mos · Mumbai, Maharashtra, India

Pinpoint asset management limited

Investment Intern

Sep 2023Oct 2023 · 1 mo

Citi

Investment Banking Intern

Apr 2023Jun 2023 · 2 mos · Mumbai, Maharashtra, India · On-site

Kivi capital

Algorithmic Trader

Apr 2021May 2022 · 1 yr 1 mo · Gurugram, Haryana, India

  • Earned ₹1.5Cr+ by deploying 20+ active quant trading strategies in the Indian Equity & Derivative Market.
  • Generated Return on Capital of 150% in Index Options, 100% in Stock Futures, and 70% in Short Equities.
  • Increased Pnl by 25% using optimization on Sharpe Ratio, Max DD, Trade Ret, Calmer Ratio, Ulcer Index.
  • Reduced Max drawdowns by 35%, Risk hedged portfolio using Option Greeks, Implied Vol, Put-Call Ratio.
  • Managed trades of daily turnover up to ₹100Cr+ & Enhanced per trade return by 20%.
Quant trading strategiesRisk managementPortfolio optimizationAlgorithmic TradingRisk Management

Accenture japan

Digital Technology Architect

Dec 2020Mar 2021 · 3 mos · Tokyo, Japan · On-site

American express

Credit & Fraud Risk Analyst

May 2019Jul 2019 · 2 mos · Gurugram, Haryana, India

  • Achieved benefit of ₹10Cr+/year by evaluating a new model on US and Canadian credit markets.
  • Identified risky Accounts using 20+ features viz. Spendbehav, FICO, page visits; Captured it using Neural Nets.
  • Enhanced robustness to dynamic frauds by 10%, reinforced existing XGBoost with self learning algorithm.

Education

Indian Institute of Management, Calcutta

Master of Business Administration - MBA

Jun 2022Mar 2024

The London School of Economics and Political Science (LSE)

CEMS Master in International Management

Sep 2023Dec 2023

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2016Jan 2020

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