Python Developer

Quantitative Python Developer

Location: India

We are seeking a Quantitative Python Developer to join a high-performance technology and trading environment, working closely with quantitative researchers, traders, and technology teams to build scalable data-driven solutions.

Key Responsibilities

• Develop and maintain Python-based applications, research frameworks, and data pipelines that support quantitative research, analytics, and trading activities.

• Design, build, and optimize large-scale data processing systems handling structured and unstructured datasets.

• Collaborate with quantitative researchers, traders, risk teams, and engineers to deliver production-grade solutions.

• Build tools and services for data analysis, visualization, reporting, and workflow automation.

• Develop APIs, microservices, and backend systems supporting research and business-critical applications.

• Improve the performance, reliability, and scalability of existing platforms and infrastructure.

• Work with cloud and on-premise environments to support compute-intensive workloads.

• Contribute to software architecture, testing, deployment, and operational excellence.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline.

• 3+ years of professional software development experience.

• Strong proficiency in Python with experience building production-grade applications.

• Hands-on experience with data analysis libraries such as Pandas, Polars, NumPy, or similar tools.

• Experience developing data pipelines, ETL processes, and large-scale data systems.

• Strong understanding of Linux environments and software engineering best practices.

• Experience working with SQL and relational databases.

• Excellent problem-solving and analytical skills.

Preferred Qualifications

• Experience within quantitative trading, hedge funds, financial technology, market-making, asset management, or capital markets environments.

• Exposure to financial markets, quantitative research, risk analytics, or trading systems.

• Experience with cloud technologies such as AWS, GCP, or Azure.

• Familiarity with FastAPI, Django, Flask, or other backend frameworks.

• Knowledge of distributed computing, containerization, Docker, or Kubernetes.

• Experience working with large-scale datasets and performance optimization.

• Exposure to machine learning, statistical modelling, or quantitative analytics.

What We Offer

• Opportunity to work alongside world-class engineers and quantitative professionals.

• Exposure to large-scale datasets and cutting-edge technology.

• Fast-paced, collaborative, and intellectually stimulating environment.

• Significant ownership and impact on business-critical systems and platforms.