Innovation Hub:

Jefferies is creating a Technology Innovation Hub in Pune, a greenfield opportunity to build the systems that power global markets. As our first India technology center, this hub brings together hands on builders who engineer the platforms behind Jefferies’ growth across capital markets, investment banking, and institutional securities. We’re scaling toward an elite team of 500 engineers while maintaining the agility, ownership, and meritocratic spirit that defines Jefferies. From cloud and data to AI, risk, and core business technologies, teams in Pune will lead high impact work with a global mandate.

IT Risk Technology: 

Risk Technology is a global, cross functional team responsible for enterprise risk platforms at Jefferies. The team works closely with Risk Management and Trading to identify, measure, and manage risk across the firm. It designs, implements, and supports largescale, data intensive systems that facilitate risk data management, advanced analytics, visualization, analysis, and reporting across various asset classes. 

The India Risk Technology team is a strategic part of the global organization. Team members in India participate in the full lifecycle of the risk platform development — from design and engineering through enhancement and support — and take ownership of critical systems used by risk managers and senior leadership worldwide. 

As Jefferies continues to modernize and expand its risk ecosystem, Risk Technology is building the next generation risk platform using cloud native architectures, distributed compute, containers, modern data platforms, advanced BI, and applied AI. Risk Technology plays a critical role in enabling informed decision making, strengthening firmwide controls, and supporting sustainable growth in an increasingly complex and dynamic market environment. 

Job Description:

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

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