Description

You will design, develop, and optimize data solutions supporting trading, risk, and post-trade activities for derivatives and capital markets.

Responsibilities

• Design and build data pipelines and platforms for ingesting and processing large volumes of capital markets and derivatives data.
• Develop, maintain, and optimize SQL and NoSQL databases and data models for trading and risk management systems.
• Implement ETL processes, real-time streaming solutions, and data API integrations with internal and external sources.
• Collaborate with quantitative and software engineers to deploy analytics for derivatives products including options, swaps, and futures.
• Monitor and troubleshoot data feeds to ensure the timeliness and reliability of market and risk 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 of the following: Java, C++, or C#.
• Hands-on expertise with database technologies including 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 modern 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.
• Understanding of regulatory reporting such as Dodd-Frank or EMIR.

Key Skills

Education

Any Graduate