

Open Systems Technologies
Senior Market Risk Developer (Market Data)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Market Risk Developer (Market Data) in New York, NY, offering $850-900/day for a 3-4 days onsite contract. Requires 7+ years in market data, strong SQL, Python, and Snowflake expertise. U.S. Citizens/GC Holders only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
900
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🗓️ - Date
January 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Pandas #Cloud #AWS (Amazon Web Services) #Data Quality #Data Lineage #"ETL (Extract #Transform #Load)" #NumPy #Schema Design #SQS (Simple Queue Service) #Databases #SQL (Structured Query Language) #Computer Science #Python #Snowflake #Scala #Mathematics #Data Engineering
Role description
A financial firm is looking for a Senior Market Risk Developer (Market Data) to join their team in New York, NY.
Pay: $850-900/day
Location: NYC; 3-4 days a week onsite
U.S. Citizens/GC Holders Only; No visa sponsorship
Main Requirements:
Market Risk – Market Data
Technical: Snowflake SQL, Python
Cloud: AWS (nice to have)
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 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
Qualifications:
• Bachelor's degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline
• 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
• 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
A financial firm is looking for a Senior Market Risk Developer (Market Data) to join their team in New York, NY.
Pay: $850-900/day
Location: NYC; 3-4 days a week onsite
U.S. Citizens/GC Holders Only; No visa sponsorship
Main Requirements:
Market Risk – Market Data
Technical: Snowflake SQL, Python
Cloud: AWS (nice to have)
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 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
Qualifications:
• Bachelor's degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline
• 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
• 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






