Quantitative Developer – Backend & Real-Time Systems

Quantitative Developer – Backend & Real-Time SystemsExperience: 4–5 Years

Location: Mumbai

Employment Type: Full-Time | Work from Office

CTC: Up to ₹15 LPA

About GreyOakGreyOak Capital Intelligence is an early-stage financial-market intelligence startup building quantitative systems and data-driven products for traders, investors and financial institutions.

We are looking for a Quantitative Developer who can take end-to-end ownership of our quantitative backend infrastructure — from implementing research and backtesting systems to real-time market data, APIs, WebSockets and production deployment.

Key Responsibilities

• Convert quantitative research into reliable production systems.
• Build and maintain strategy, signal and backtesting engines.
• Develop multi-stock and multi-timeframe quantitative systems.
• Build and manage historical and real-time market-data pipelines.
• Handle WebSocket feeds, live data processing and connection reliability.
• Build backend APIs and services for quantitative outputs.
• Work with PostgreSQL, Redis and large financial datasets.
• Conduct walk-forward, out-of-sample and robustness testing.
• Prevent look-ahead bias, data leakage, survivorship bias and overfitting.
• Optimise Python workloads for performance and scalability.
• Handle deployment, debugging, monitoring and production issues.
• Work closely with Quant Researchers and take ownership from research implementation through production deployment.Required Skills
• 4–5 years of experience in Quantitative Development, Algorithmic Trading, Systematic Trading or backend engineering within financial markets.
• Strong Python and SQL.
• Strong knowledge of NumPy, Pandas, Polars and SciPy.
• Experience building backtesting, strategy or signal-generation systems.
• Experience with REST APIs and WebSockets.
• Strong understanding of financial time-series and market data.
• Experience with PostgreSQL and Redis.
• Working knowledge of Git, Linux and Docker.
• Ability to independently design, build, test and maintain production systems.Good to Have
• Experience with NSE/BSE markets.
• Broker APIs and real-time market-data feeds.
• FastAPI, Django or Flask.
• AWS, DigitalOcean, GCP or similar cloud infrastructure.
• Numba, Cython or C++.
• Previous experience at a prop firm, broker, fintech or quantitative trading company.Who We Are Looking ForWe need someone comfortable working in a fast-moving startup environment who can independently take ownership across:

Research Implementation → Backtesting → Backend → Real-Time Data/WebSockets → Production → Monitoring