Python Quantitative Developer

Job Title: Python Quantitative Developer

Location: Hyderabad

Experience: 3+ years

Employment Type: Full-Time

Company Overview:

We are a product-driven 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.
• Monitor 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.