
Python Quantitative Developer
16 hours ago
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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