Sr. Consultant - Enterprise Risk Advisory

Sr. Consultant
- Enterprise Risk Advisory Ready to turn bold ideas into real‑world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry‑first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform ther tackling complex challenges through large‑scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

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We are looking for a Data Analyst with strong Business Analysis skills to support data transformation initiatives across Risk, BCBS 239, ESG, Regulatory Reporting, Data Governance and Data Quality. The role will work closely with business, risk, data and technology teams to understand requirements, analyse data, identify gaps and support delivery of practical data solutions.

• Gather and document business and data requirements.
• Analyse business processes, data sources and data flows to identify gaps and improvement opportunities.
• Perform data analysis and data-quality assessments using SQL/Excel and other analytical tools.
• Define data requirements, business rules, Critical Data Elements (CDEs), controls and acceptance criteria.
• Support data mapping, lineage and process documentation.
• Contribute to BCBS 239 initiatives covering risk data, data quality, lineage, governance and reporting.
• Support ESG and regulatory data initiatives, including data sourcing, mapping, quality and controls.
• Investigate data issues and support root‑cause analysis and remediation.
• Participate in stakeholder workshops and clearly communicate analysis and findings.
• Work with Risk, Finance, Compliance, ESG, Data Governance and Technology teams.
• Support UAT, solution validation and project documentation.

• 6-7 years of experience in Data Analysis, Business Analysis, Data Governance, Risk Data or related areas.
• Good business analysis, analytical and problem‑solving skills.
• Experience in requirements gathering, data analysis, data mapping and data quality.
• Good SQL and Excel skills;
  Power BI is desirable.
• Strong communication and stakeholder‑management skills.
• Ability to translate business needs into clear data requirements.
• Banking / Financial Services experience preferred.
• Exposure to BCBS 239, Risk, Regulatory Reporting or ESG is an advantage.

• A hands‑on analytical professional who can bridge the gap between Business/Risk and Data/Technology, understands complex requirements, analyses data effectively and contributes to delivering high‑quality outcomes.

• Bachelors
  - Economics
• Bachelors
  - Finance
• Bachelors
  - Statistics
• Masters
  - Business Administration
• Masters
  - Risk Management

• Certified Fraud Examiner (CFE) - ACFE
• CISA - ISACA – Information Systems Audit and Control Association
• ITIL 4 Foundation Certificate in IT Service Management
  - Skillsoft
• Microsoft Certified:
  Azure Security Engineer…