Python Developer

Job Description : Python Developer / Quant Operations

Location : Noida

Department : Trading / Quantitative Research

About the Role

We are seeking a skilled Python Developer / Quantitative Trading Operations Analyst to join our

quantitative trading team. Based in Delhi and reporting directly to the Head of Quantitative Trading in our

London office, you will pla y a critica l role in building and maintaining the firm’s data and pricing infra structure.

This is a unique opportunity to work closely with front -office quants and traders in London, implementing

models and ensuring robust data pipelines for real-time decision-making.

About the Firm

MET Traders is a proprietary trading firm with a strong presence in global derivatives markets. The firm is a

leading liquidity provider in Short-Term Interest Rate (STIR) products and credit index futures, recognised

for its market expertise and reliable execution.

As part of its growth, MET Traders is expanding into new areas, with a particular focus on quantitative and

systematic trading strategies. By combining deep market knowledge with advanced technology and research,the firm is broadening its reach and building the next generation of trading capabilities.

Key Responsibilities

• Data Infrastructure & Monitoring

o Develop, maintain, and optimize data ingestion pipelines from Bloomberg and other market

data providers.

o Integrate and manage metrics into Grafana via Prometheus, ensuring real-time monitoring

and alerting for trading systems.

o Ensure reliability, accuracy, and performance of data services used by the trading desk.

o Suggest and develop improvements to current data distribution systems.

o Translate and implement pricing and risk models developed by the London quantitative

research team into production-quality Python code.

o Collaborate with quants to validate and back test models before deployment.

o Optimize model performance for real-time trading environments.

o Work closely with London-based developers, quants, and traders to understand requirements

and deliver timely solutions.

o Provide support for critical data and model-related issues, including troubleshooting and

performance improvements.

o Document systems, processes, and code for transparency and maintainability.

Qualifications & Skills

o Bachelor’s or Ma ster’s degree in Computer Science, Physics, Engineering, Mathematics, or a

related quantitative discipline.

o Fluent English is essential.

o Strong proficiency in Python, including data manipulation libraries (pandas, numpy) and

numerical computing.

o Experience with APIs and data integration, ideally including Bloomberg API.

o Familiarity with Prometheus / Grafana for monitoring and alerting.

o Knowledge of databases (SQL / NoSQL) and data engineering concepts.

o Experience with version control (Git) and collaborative software development practices.

o Exposure to financial markets, derivatives, and pricing concepts is a strong plus.

o Strong analytical and problem-solving abilities.

o Ability to work independently while collaborating across global teams.

o Strong written and verbal communication skills in English.

o Self-motivated, detail-oriented, and able to work under time pressure.

Preferred Experience

What We Offer