Browse Jobs
By Role
By City
Posted Apr 2, 2026
Key Responsibilities:
Data Sourcing & Integration:
Source EOD market data by region from various front-office marking systems and external providers. - Validate and normalize data across asset classes for pricing and risk consumption. - Data Modeling & Storage:
Design and implement data models in Snowflake to persist end-of-day prices, volatility surfaces, credit spread curves, discount curves, and other risk-related market data. - Infrastructure Development:
Provide solutions to pricing engines to deliver market data by region with high reliability and performance. - Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance. - Implement data quality checks and ensure auditability. - Integrate with AWS SQS messaging for data readiness events. - Collaboration:
Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage. - Collaborate with the Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics. Qualification Required:
Essential Experience/ Skills:
7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms. - Strong technical skills in Python (pandas, numpy, data engineering best practices), advanced SQL, and Snowflake. - Experience in ETL/ELT pipeline development. - Domain Knowledge:
Proficiency in market data concepts across multiple asset classes such as Rates, FX, Credit, Equities, and Commodities. - Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing. - Education:
Bachelors degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline. Key Responsibilities:
Data Sourcing & Integration:
Source EOD market data by region from various front-office marking systems and external providers. - Validate and normalize data across asset classes for pricing and risk consumption. - Data Modeling & Storage:
Design and implement data models in Snowflake to persist end-of-day prices, volatility surfaces, credit spread curves, discount curves, and other risk-related market data. - Infrastructure Development:
Provide solutions to pricing engines to deliver market data by region with high reliability and performance. - Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance. - Implement data quality checks and ensure auditability. - Integrate with AWS SQS messaging for data readiness events. - Collaboration:
Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage. - Collaborate with the Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics. Qualification Required:
Essential Experience/ Skills:
7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms. - Strong technical skills in Python (pandas, numpy, data engineering best practices), advanced SQL, and Snowflake. - Experience in ETL/ELT pipeline development. - Domain Kn
Don't want to apply yourself?
Our team writes your resume, applies for you, preps you for interviews, and negotiates your offer.