Priyanshu Priyank

Associate Consultant

Delhi, India2 yrs experience

Key Highlights

Developed over 25 market neutral alphas for major markets.
Automated live trading systems enhancing execution reliability.
Built comprehensive backtesting frameworks for crypto trading.

Stackforce AI infers this person is a Fintech Quantitative Analyst with strong algorithmic trading expertise.

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Skills

Core Skills

Quantitative FinanceAlgorithm DevelopmentQuantitative AnalyticsAlgorithmic TradingProduct DevelopmentBlockchain

Other Skills

Anomaly DetectionAutoCADBacktestingBusiness AnalysisC (Programming Language)C++CPPCSS FlexboxCascading Style Sheets (CSS)ClassificationComputer ScienceCryptocurrency TradingDSAData StructuresDebate

Experience

16 alpha

Quant Research Intern

Dec 2025 – Present · 3 mos · New Delhi,India · On-site

Worldquant

Quantitative Research Consultant

Aug 2025 – Nov 2025 · 3 mos · New Delhi,India · Remote

> Built and deployed 25+ long-short market neutral alphas across US and Chinese markets on the WorldQuant BRAIN platform
> Designed and optimized alpha signals using fundamental, technical, and sentiment-based factors to enhance Sharpe ratio and portfolio diversification

Quantitative FinanceAlgorithm Development

Quantforge

Quant Research and Dev Intern

Jun 2025 – Jul 2025 · 1 mo · New Delhi,India · Remote

>Optimized existing strategies on index options, stock options, and crypto assets for better execution efficiency and risk-adjusted returns
> Integrated multiple indicators and statistical methods into a modular backtesting engine to enhance strategy adaptability
> Developed an adversarial strategy backtester to simulate stress scenarios and evaluate model robustness under volatile market regimes

Algorithm DevelopmentQuantitative Analytics

Waterwalker investments

Quant Intern

Mar 2025 – Apr 2025 · 1 mo · Pennsylvania, United States · Remote

> Built live crypto trading systems based on mean-reversion and trend-continuation strategies using Python and PostgreSQL
> Built backtesting frameworks for in sample testing, out sample testing and walk forward random testing
> Developed real-time visualization dashboard for monitoring P&L fluctuations and multi-strategy performance across 4 deployed strategies

Python (Programming Language)C++FinanceQuantitative FinanceAlgorithmic TradingCryptocurrency Trading+1

Bliss opulent

Systematic Trading Intern

Dec 2024 – Jun 2025 · 6 mos · New Delhi, Delhi, India · Hybrid

> Automated and maintained live trading systems for index option strategies, improving stability and execution reliability
> Built custom alert modules and backtesting utilities for stock futures and index options strategies
> Designed and tested multiple proprietary trading strategies, including breakout-breakdown models and option-selling systems

C++Algorithm DevelopmentAlgorithmic TradingPython (Programming Language)TradingQuantitative Analytics