Senior Python Developer

1 week ago

Bengaluru Gurugram Noida, India Vlink Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: Senior Python Developer Quantitative Engineering

Location: Bangalore, Noida, Gurgoan

Work Mode: Hybrid (4 Days in Office)

Shift Timing: 11:00 AM – 8:00 PM

Key Skills:

Python, Quantitative Development, Cucumber, NumPy, Pandas, SciPy, Scikit-learn, Data Engineering, Financial Instruments, Backtesting, CI/CD, Docker, Git

Job Summary:

We are looking for a Senior Python Developer with strong quantitative and analytical skills to join our Quant Engineering team. The ideal candidate will design and maintain high-performance tools and frameworks for pricing, trading, and risk analytics.

Responsibilities:

  • Develop scalable Python-based quantitative tools and libraries.
  • Collaborate with quants to implement and optimize trading and risk models.
  • Analyze and process large datasets (market, fundamental, alternative).
  • Enhance and maintain backtesting frameworks and data pipelines.
  • Integrate models with execution systems and trading platforms.
  • Participate in performance tuning, code reviews, and documentation.

Required Qualifications:

  • 5+ years in quantitative development or a related field.
  • Strong Python skills with libraries like NumPy, Pandas, SciPy, Scikit-learn.
  • Solid foundation in data structures, algorithms, and OOP.
  • Experience with large-scale data processing and real-time systems.
  • Knowledge of financial markets (equities, futures, options, FX, etc.).
  • Familiarity with backtesting, simulations, and strategy evaluation tools.
  • Hands-on experience with Git, Docker, CI/CD pipelines.

Preferred Qualifications:

  • Experience with C++ for performance-critical applications.
  • Exposure to ML tools like TensorFlow or XGBoost.
  • Familiarity with SQL/NoSQL databases and cloud platforms (AWS/GCP).
  • Background in hedge funds, trading firms, or financial data providers.

Education:

Bachelor's degree in B.Tech/B.E., BCA, B.Sc, B.Com, or similar disciplines.

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