Python Quantitative Developer

4 days ago

Hyderabad, Telangana, India Codeline Tech Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Python Quantitative Developer

Location: Hyderabad

Experience: 3+ years

Employment Type: Full-Time

Company Overview:

We are a product-driven technology company specialising in fintech solutions, with a proven track record of building platforms that power financial education, trading, and investment. While fintech is our core focus, we are constantly exploring opportunities in other high-demand sectors — developing software that helps businesses streamline operations, improve efficiency, and stay ahead in a competitive market.

About the Role:

We are seeking a Senior Python Quantitative Developer to design, develop, and deploy high-performance algorithmic trading solutions. The ideal candidate combines strong Python expertise with deep quantitative and statistical skills, and thrives in a fast-paced, data-driven environment. You will be responsible for the entire lifecycle of trading algorithms—from research and modelling to production deployment and monitoring.

Key Responsibilities:

  • Research, design, and implement quantitative trading algorithms.
  • Develop robust simulation environments and performance attribution models.
  • Build and optimise low-latency execution systems using Python, APIs, and WebSocket data feeds.
  • Integrate cloud-based infrastructure for scalable computation, storage, and real-time analytics.
  • Apply machine learning and statistical models for signal generation, anomaly detection, and predictive analytics.
  • Conduct data engineering, including web scraping and processing large structured/unstructured datasets.
  • Monit
  • or live algorithms, ensuring risk controls, fail-safes, and accurate reporting.
  • Collaborate with quants, data scientists, and engineers to bridge research and production.
  • Document research, codebases, and models for transparency and reproducibility.

Must-Have Skills:

  • 3+ years in Python development and quantitative analysis.
  • Proficiency in Python libraries: NumPy, Pandas, SciPy, Scikit-learn, TensorFlow/PyTorch.
  • Strong knowledge of time-series analysis, econometrics, and statistical modelling.
  • Experience with REST/WebSocket APIs and real-time data processing.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for distributed computing.
  • Expertise in data structures, algorithms, and design patterns.
  • Experience with Docker, Kubernetes, Kafka, and CI/CD pipelines.
  • Excellent problem-solving, debugging, and optimisation skills.

Preferred / Nice-to-Have:

  • Exposure to C++/Rust/Go for performance-critical components.
  • Knowledge of parallel computing, GPU acceleration, and alternative data sources (news sentiment, satellite data, web-scraped data).
  • Experience with machine learning pipelines for predictive modelling in finance.

Job Demands & Expectations:

  • Ability to own projects end-to-end, from research to live execution.
  • Thrive in high-pressure, fast-paced environments.
  • Strong collaboration skills in cross-functional teams.
  • Entrepreneurial mindset for fintech startups or disciplined execution for corporate trading desks.

Why Join Us:

  • Work at the forefront of quantitative finance with a team that values innovation, ownership, and cutting-edge technology.
  • Work on challenging and impactful projects in the finance/trading domain.
  • Competitive compensation and career growth opportunities

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