VP Risk Technology

The individual will work closely with the Risk Management organization Front Office and global technology teams. The VP shall understand how risk metrics are produced validated and consumed and be able to analyze and troubleshoot risk reporting issues.

This role requires strong SQL Python and data engineering skills along with familiarity with market and credit risk concepts across bonds derivatives structured products and loan portfolios. This is a senior individual contributor position with high ownership.

Primary Responsibilities

• Serve as the senior technical partner to Market Risk and Credit Risk teams focusing on data and platform solutions
• Perform hands-on development in SQL and Python to support risk data pipelines analytics reconciliations and reporting workflows.
• Support daily weekly and monthly risk reporting cycles ensuring accuracy completeness and timely delivery.
• Validate and troubleshoot risk reporting issues using market data pricing inputs and risk factor mappings.
• Collaborate with onshore and offshore teams to enhance data quality lineage and reporting controls.
• Drive improvements in automation data validation transparency and modernization of risk processes.

Qualifications :

Required Qualifications and Experience

• Minimal 5 years of hands-on technology experience supporting Market Risk Credit Risk or trading/risk data environments.
• Strong SQL skills (Snowflake SQL Server or equivalent) for analytics modeling and performance optimization.
• Python experience for data processing analytics and automation.
• Experience integrating market data pricing data and risk factor inputs into analytical or reporting systems.
• Hands-on experience building or supporting ETL pipelines reconciliations data validation checks and reporting workflows.
• Familiarity with risk metrics such as DV01 stress testing scenario analysis and credit exposure concepts.
• Excellent communication skills with ability to partner with Risk Management Front Office  and other engineer teams.
• Bachelors or Masters degree in Computer Science Engineering Mathematics or a related quantitative discipline.

Preferred Qualifications and Experience

• Experience with risk platforms pricing engines or market data systems.
• Familiarity with structured credit or whole loan analytics.
• Experience working with cloud platforms such as Azure or Snowflake.
• Understanding of credit and market risk regulatory frameworks.
• Strong curiosity and willingness to dive deeply into data calculation methodologies and risk processes.

Additional Information :

Remote Work :

No

Employment Type :

Full-time