About the role
Job Description
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. * Bachelor’s or Master’s 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