Senior Market Data Developer - End-of-Day Pricing & Risk Infrastructure (Contract)

• Posted 15 hours ago • Updated 15 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Sourcing
  • Front Office
  • Data Modeling
  • Storage
  • Data Quality
  • Amazon Web Services
  • Amazon SQS
  • Messaging
  • Collaboration
  • Orchestration
  • Analytics
  • Relational Databases
  • Big Data
  • Python
  • Pandas
  • NumPy
  • Data Engineering
  • SQL
  • Snow Flake Schema
  • Warehouse Management
  • Streaming
  • Query Optimization
  • Extract
  • Transform
  • Load
  • ELT
  • Market Analysis
  • FX
  • Equities
  • Commodities
  • EOD
  • Pricing
  • Value At Risk
  • Stress Testing
  • Computer Science
  • Mathematics
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Communication
  • Management
  • Artificial Intelligence
  • Recruiting

Summary

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

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.

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.

Technical
  • Strong Python (pandas, NumPy, data engineering best practices).
  • Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
  • ETL/ELT pipeline development

Domain Knowledge
  • 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

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 23965439
  • Posted 15 hours ago
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