Summary: The role of Senior Market Data Developer focuses on designing and implementing solutions for sourcing, storing, and delivering end-of-day market data essential for pricing and risk calculations. The position requires a strong technical background in Python, SQL, Snowflake, and AWS, along with in-depth knowledge of market data across various asset classes. The developer will collaborate closely with the Risk Orchestration team to ensure accurate market data inputs for pricing engines and risk models.
Key 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.
- Collaborate with the Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.
Key Skills:
- 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
- Strong Python (pandas, NumPy, data engineering best practices).
- Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
- ETL/ELT pipeline development.
- Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities).
- Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
- Bachelor's degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline.
- Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data-related issues.
- Strong verbal and written communication skills.
- Self-starter and entrepreneurial in approach.
- Ability to escalate and follow-up proactively.
- Good time management skills.
Salary (Rate): undetermined
City: New York
Country: United States
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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:
- Data Sourcing & Integration
- Data Modeling & Storage
- Infrastructure Development
- Collaboration
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:
- 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
- Strong Python (pandas, NumPy, data engineering best practices).
- Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
- ETL/ELT pipeline development
- Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities).
- Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
- Bachelor's degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline
Technical
Domain Knowledge
Personal Attributes:
- Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues
- Strong verbal and written communication skills
- Self-starter and entrepreneurial in approach
- Ability to escalate and follow-up proactively
- Good time management skills
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.