What are the responsibilities and job description for the Business Risk Analyst position at TAO Digital Solutions?
Role Summary
We are looking for an experienced Business/QA Analyst with strong exposure to Investment Banking, Market Risk, and Credit Risk domains. The ideal candidate will work closely with business stakeholders, risk teams, and technology teams to gather requirements, design solutions, and perform end-to-end quality assurance for risk and trading platforms.
Key Responsibilities
Business Analysis
- Work with Market Risk, Credit Risk, and Front Office teams to gather, analyze, and document business requirements.
- Translate complex risk and regulatory requirements into functional and technical specifications.
- Support the design and enhancement of risk management systems, pricing tools, and trading platforms.
- Perform impact analysis for regulatory changes (Basel III/IV, FRTB, IFRS9, SA-CCR, etc.).
- Support data mapping, data lineage, and validation across risk and trading systems.
- Collaborate with quants, risk managers, and technology teams on model changes, risk metrics, and calculation engines.
Quality Assurance
- Develop test strategies, test plans, and detailed test cases for risk and trading applications.
- Perform functional, integration, regression, and UAT testing.
- Validate Market Risk metrics (VaR, SVaR, Sensitivities, Stress Testing, Greeks) and Credit Risk metrics (EAD, PD, LGD, RWA).
- Conduct data quality checks on trade data, market data, and reference data.
- Document defects, track resolution, and ensure high-quality delivery.
Required Skills & Experience
- 6–10 years of experience as a Business Analyst, QA Analyst, or hybrid BA/QA in Investment Banking or Capital Markets.
- Strong understanding of Market Risk concepts (VaR, Greeks, PnL, Stress Scenarios, Sensitivities).
- Knowledge of Credit Risk (Counterparty Credit Risk, Exposure calculations, RWA, SA-CCR).
- Experience with risk platforms (e.g., Murex, Calypso, Summit, Axiom, or in-house systems).
- Strong SQL skills for data analysis and validation.
- Experience working with agile methodologies and Jira/Confluence.
- Ability to work with large datasets and perform detailed analysis.
- Strong documentation, communication, and stakeholder-management skills.
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