Dolat Capital Market Pvt Ltd is hiring for Quantitative Developer – Trading Systems in Mumbai

📌 Job Summary

Company: Dolat Capital Market Pvt Ltd

Role: Quantitative Developer – Trading Systems

Location: Mumbai, India

Experience Required: 2 – 6 Years

Technical Skills: Python, C++, algorithms, trading systems, quantitative analytics, data structures, AI/ML basics. ([hirist.tech](https://www.hirist.tech/j/quantitative-developer-trading-systems-1607935?jobPos=21&ref=kp_br))

Posted On: 30/01/2026 :contentReference[oaicite:0]{index=0}

🧠 Job Description

Dolat Capital Market is looking for a Quantitative Developer to join their trading technology and research team. In this high‑impact role, you’ll work with traders and quant researchers to design, implement, and optimize systems used in live trading of derivatives, equities, and other instruments. This involves building robust, scalable software that powers real‑time decision making and market operations. :contentReference[oaicite:1]{index=1}

Main Responsibilities

  • Design, develop, and optimize quantitative trading systems and research platforms in Python and C++. :contentReference[oaicite:2]{index=2}
  • Collaborate with researchers and traders to translate mathematical models into production‑ready code. :contentReference[oaicite:3]{index=3}
  • Develop and enhance backtesting frameworks for evaluating trading strategies. :contentReference[oaicite:4]{index=4}
  • Integrate real‑time market data feeds and APIs for trading execution pipelines. :contentReference[oaicite:5]{index=5}
  • Ensure systems are scalable, low‑latency, and fault‑tolerant. :contentReference[oaicite:6]{index=6}
  • Conduct performance tuning, debugging, and reliability testing. :contentReference[oaicite:7]{index=7}
  • Work closely with cross‑functional engineering, research, and trading teams. :contentReference[oaicite:8]{index=8}

💼 Salary & Market Expectations

Quantitative Developer roles in India focusing on trading systems typically span a broad range depending on company and experience level — from around ₹30 LPA to ₹70 LPA+ at major financial firms and hedge funds for mid‑level professionals. :contentReference[oaicite:9]{index=9}

Smaller prop trading firms or niche teams may offer competitive packages tied closely to performance incentives. :contentReference[oaicite:10]{index=10}

📘 How to Prepare for This Role

  • Strong Python & C++ Skills: Master both high‑level data manipulation and lower‑level performance‑critical code. :contentReference[oaicite:11]{index=11}
  • Algorithms & Data Structures: Be comfortable with efficient implementations for real‑time systems. :contentReference[oaicite:12]{index=12}
  • Quantitative Concepts: Learn about time‑series analysis, statistics, and strategy backtesting. :contentReference[oaicite:13]{index=13}
  • Trading Knowledge: Understand financial markets, instruments, and trading workflows. :contentReference[oaicite:14]{index=14}
  • Real‑Time Data Feeds: Practice integrating market APIs and handling streaming data. :contentReference[oaicite:15]{index=15}
  • Low‑Latency Systems: Learn how to optimize code for performance and reliability. :contentReference[oaicite:16]{index=16}

🏢 About Dolat Capital Market Pvt Ltd

Dolat Capital Market Pvt Ltd is a financial services firm specializing in capital markets, trading, and investment research. Their quant and trading teams focus on building advanced infrastructure for market analysis and execution, combining domain expertise with technology to support trading strategies across multiple asset classes. (Industry context for quant roles.) :contentReference[oaicite:17]{index=17}

🌍 Industry & Career Outlook

Quantitative Developers are in strong demand globally as financial firms, hedge funds, and prop trading teams seek engineers who can build, test, and maintain high‑performance trading systems. Skills in Python, real‑time data handling, and quantitative modeling are particularly valued. :contentReference[oaicite:18]{index=18}

⚖️ Pros & Cons for Job Seekers

Pros Cons
Work on cutting‑edge trading systems and financial infrastructure High technical expectations and steep learning curve
Exposure to markets, algorithms, and quantitative research Compensation may vary widely by company and performance
Strong career growth potential in fintech and quant firms Can require long hours and fast turnaround cycles

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