Business Analyst Wholesale Credit & Counterparty Risk

Job Title: Business Analyst Wholesale Credit & Counterparty Risk
Location: New York, NY (Hybrid)
Interview: 2 Rounds (1 Virtual + 1 Face-to-Face)
Job Summary:

We are seeking an experienced Business Analyst with strong exposure to Wholesale Credit and Counterparty Risk to join our financial risk management team. The ideal candidate will have deep domain knowledge of credit risk processes, data, and reporting frameworks used in global banking. You will work closely with risk managers, quantitative teams, and technology partners to analyze business requirements, enhance data quality, and support regulatory and risk initiatives.

Key Responsibilities:

Partner with Risk Management, Front Office, and Technology teams to gather, document, and validate business requirements related to Wholesale Credit and Counterparty Risk.

Analyze existing credit exposure systems, data flows, and risk metrics (e.g., PFE, CVA, RWA) to identify areas of improvement.

Work with quantitative and technology teams to ensure accurate data mapping, lineage, and transformation for credit and counterparty risk calculations.

Support regulatory reporting initiatives (e.g., Basel III/IV, FRTB, CCAR, PRA) and ensure compliance with internal risk policies.

Create functional specifications, data dictionaries, and process documentation for new system enhancements.

Perform UAT (User Acceptance Testing) and support implementation of system releases and process changes.

Collaborate with stakeholders to analyze risk data quality issues, perform root cause analysis, and propose sustainable remediation solutions.

Prepare and deliver presentations on project updates, findings, and risk insights to senior management.

Required Skills & Qualifications:

Bachelor s or Master s degree in Finance, Economics, Engineering, Mathematics, or related field.

12+ years of experience as a Business Analyst within Investment Banking, Risk Management, or Treasury.

Strong understanding of Wholesale Credit Risk and Counterparty Credit Risk (CCR) concepts including Exposure at Default (EAD), Potential Future Exposure (PFE), Credit Valuation Adjustment (CVA), and RWA.

Hands-on experience with credit risk systems, data models, and regulatory frameworks (Basel III/IV, FRTB, CCAR).

Strong analytical and data interpretation skills; proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).

Familiarity with Python or PySpark is a plus for data analysis and validation.

Excellent communication skills with the ability to translate technical and quantitative insights into business terms.

Strong stakeholder management experience and ability to work effectively in a global, cross-functional environment.

Preferred Qualifications:

Experience working with risk engines, exposure calculators, or data warehouses in banking.

Background in Quantitative Finance or Statistical Modeling is advantageous.

Knowledge of Agile methodologies and experience using JIRA/Confluence.