Description

Design and optimize data solutions for trading, risk, and post-trade activities in capital markets.

This role is hybrid.

Responsibilities

• Build data pipelines and platforms for ingesting large volumes of derivatives data.
• Develop and optimize SQL and NoSQL databases for trading and risk systems.
• Implement ETL processes, real-time streaming, and data API integrations.
• Collaborate with engineers to deploy analytics for options, swaps, and futures.
• Monitor data feeds to ensure timeliness and reliability of market data.

Required Skills

• 12–15 years of development experience in capital markets with a focus on derivatives.
• Advanced programming skills in Python and SQL.
• Proficiency in at least one: Java, C++, or C#.
• Hands-on expertise with SQL Server, Oracle, PostgreSQL, and NoSQL stores.
• Experience building ETL pipelines and managing large-scale market data.
• Knowledge of financial data formats such as FpML and FIX.
• Experience with derivatives products (OTC and listed) and the full trade lifecycle.
• Familiarity with DevOps practices, version control, and CI/CD pipelines.

Preferred Skills

• Experience supporting cloud-based solutions on AWS, Azure, or GCP.
• Exposure to data science or machine learning applied to derivatives analytics.

Key Skills

Education

Any Graduate