Senior Market Data Developer – End-of-Day Pricing & Risk Infrastructure (Contract)
We are seeking a Market Data Developer to design and implement solutions for sourcing, storing, and delivering end-of-day (EOD) market data used in pricing and risk calculations. This role requires strong technical skills in Python, SQL, Snowflake, AWS, and deep domain knowledge of market data across multiple asset classes. The candidate will work closely with the Risk Orchestration team to provide accurate and timely market data inputs for pricing engines and risk models.
Primary Responsibilities:
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.
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
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.
Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
Work closely with Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.
Essential Experience/ Skills:
Technical
Domain Knowledge
Personal Attributes:
Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.
Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.