Rahul Kumar Singh

Product Manager

Gandhinagar, Gujarat, India4 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Expert in building algorithmic trading systems.
Proficient in quantitative research and data engineering.
Strong background in low-latency data pipelines.

Stackforce AI infers this person is a Fintech professional specializing in algorithmic trading and quantitative research.

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Skills

Core Skills

Algorithmic TradingQuantitative ResearchData EngineeringDevopsEquity Trading

Other Skills

Algorithm DevelopmentAutomationBasic AccountingCommoditiesCommodity MarketsCryptoData AnalysisDatabase Management System (DBMS)DatabasesDerivativesEquity DerivativesFinanceFinancial AnalysisFinancial ConceptsFinancial Modeling

About

Quantitative Developer specializing in algorithmic trading systems, low-latency data pipelines, and scalable research infrastructure. At PinSec.Ai, I build end-to-end trading infrastructure—integrating multi-source market data (Kite, XTS, TrueData, GDF), architecting InfluxDB time-series storage, and automating research-to-live workflows. My work bridges quant research and production execution with a focus on reproducibility, system reliability, and latency optimization. Previously at BlackBox Securities and iRage, I contributed to backtesting frameworks, live execution models, and analytics for market-making strategies in equities and crypto. I began at Amazon, improving NLP data quality for Alexa. Currently pursuing MSc in Financial Engineering from WorldQuant University. Passionate about alpha research, data-driven trading automation, and scalable quant infrastructure. Core Areas: Algorithmic Trading | Quantitative Research | Market Data Engineering | Python | InfluxDB | REST APIs | Backtesting Frameworks | Trading Automation

Experience

Pinsec.ai

Quantitative Developer

Aug 2024 – Present · 1 yr 7 mos · New York, United States · Remote

1 : Data Engineering & ETL
1.1 Built multi-source market data pipelines integrating Kite, XTS, TrueData, Irage, and GDF APIs.
1.2 Designed InfluxDB schemas for efficient tick-level and time-series data storage.
1.3 Automated historical and live data ingestion with synchronization and error recovery logic.
1.4 Developed monitoring and recovery scripts ensuring stable and continuous data flow.
2 : Quant Research
2.1 Designed and backtested quantitative strategies including Mean Reversion (EMA, RSI, BB) and SuperTrend models.
2.2 Developed a portfolio-level backtesting framework supporting Sharpe, Sortino, and drawdown analytics.
2.3 Performed root-cause analysis on data inconsistencies to enhance model stability and research accuracy.
3 : DevOps & Infrastructure
3.1 Supported server migrations and environment standardization across research and production.
3.2 Implemented REST API automation for execution, data capture, and analytics workflows.
3.3 Created Telegram bot utilities for internal alerts and system monitoring.
3.4 Optimized system throughput and latency using Python multiprocessing and asynchronous processing.
4 : Quant Developer
4.1 Developed modular Python systems connecting live execution with backtesting environments.
4.2 Built data validation tools ensuring alignment between research outputs and live data.
4.3 Automated strategy deployment and log analysis pipelines for continuous monitoring and reporting.
Skills: Algorithmic Trading · Quantitative Research · Data Engineering · Python (Programming Language) · InfluxDB · REST API Development · Linux · DevOps · Automation · Market Data Infrastructure

Algorithmic TradingQuantitative ResearchData EngineeringPython (Programming Language)InfluxDBREST API Development+4

Freelance

(user)

Jun 2024 – Present · 1 yr 9 mos · Remote · Remote

Researching and Generating alphas using various technical and fundamental indicators on WorldQuant BRAIN simulation.

Blackbox securities

Quantitative Trader

Aug 2023 – Jun 2024 · 10 mos · Delhi, India · Remote

As a quantitative trader. i was responsible for
1. backtesting and developing logic from research paper and optimizing it.
2. developing the rest API for taking the strategy live in the Crypto market (Delta Exchange and OKX Exchange)
3. storing live data of orderbook and ticker of Crypto.

Equity TradingPython (Programming Language)CryptoDerivatives

Irage broking services llp

Junior Quantitative Analyst

Jan 2022 – Aug 2023 · 1 yr 7 mos · Ahmedabad, Gujarat, India

1 : Risk team:
1.1 Handling the pnl report for the traders in the (brazil market) and optimising the scripts.
1.2 Involved in other backoffice works and analysis.
2: Trading Team :
2.1 Trade execution of HFT (MM) in MCX.
2.2 Handling pnl reports. optimising the operational works in trading.
2.3 Exploring new instruments for trading opportunities.

Equity DerivativesEquity TradingMicrosoft ExcelAlgorithm DevelopmentPython (Programming Language)Quantitative Finance+14