About the Role

We are looking for a highly skilled Senior Quant Developer to join our Algorithmic Trading and Quantitative Research team.

The candidate will be responsible for designing, developing,and optimizing quantitative trading strategies, backtesting frameworks, portfolio analytics,and low-latency trading systems across Equity, F&O;, and Multi-Asset segments.

The ideal candidate should possess strong quantitative, programming, and market knowledge,with hands-on experience in building scalable trading and research platforms.

Key Responsibilities

Quantitative Research & Strategy Development

- Develop, validate, and optimize quantitative trading and investment strategies.
- Build statistical and machine learning models for alpha generation, forecasting, and risk management.
- Conduct historical analysis, factor research, and performance attribution.
- Design and implement portfolio optimization models.

Trading Systems Development

- Develop and maintain backtesting, simulation, and execution frameworks.
- Build low-latency and high-performance trading applications.
- Integrate market data feeds, exchange APIs, and OMS/RMS systems.
- Improve execution quality through smart order routing and execution algorithms.

Data Engineering & Analytics

- Process large-scale historical and real-time market datasets.
- Design robust data pipelines for research and production environments.
- Ensure data quality, integrity, and availability for quantitative models.

Risk & Performance Monitoring
- Develop real-time risk monitoring tools.
- Create dashboards for strategy performance, drawdowns, and exposure analysis.
- Perform stress testing and scenario analysis.

Collaboration





- Work closely with traders, portfolio managers, product teams, and technology teams.
- Participate in strategy reviews, code reviews, and architecture discussions.
- Mentor junior developers and quant analysts.Technical Skills Required
- Strong programming expertise in Python.
- Experience with C++ or Golang for high-performance systems.
- Strong knowledge of data structures, algorithms, and system design.
- Hands-on experience with Pandas, NumPy, SciPy, and machine learning libraries.
- Experience with MongoDB, PostgreSQL, Redis, and time-series databases.
- Familiarity with distributed systems, message queues, and event-driven architectures.
- Experience with Linux, Docker, Kubernetes, and cloud platforms.

Quantitative Skills Required

- Solid understanding of statistics, probability, and stochastic processes.
- Knowledge of derivatives pricing, options Greeks, and volatility models.
- Experience in factor models, portfolio optimization, and risk management.
- Understanding of market microstructure and execution algorithms.
- Exposure to machine learning and AI applications in finance is preferred.

Preferred Qualifications

- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Financial Engineering, or a related field.
- Experience in algorithmic trading, HFT, quantitative research, or institutional trading environments.
- CFA, FRM, CQF, or equivalent certifications are a plus.

Success Metrics

- Development and deployment of profitable quantitative strategies.
- Reduction in execution latency and operational risk.
- Improvement in research productivity and backtesting efficiency.
- Enhanced portfolio performance and risk-adjusted returns.

📌 Quantitative Developer (Mumbai)
🏢 Team Computers
📍 Mumbai