Global Risk Data Validation & Control Associate

Deutsche Bank AG; United States; On-site; USD 9,315 - 13,455; Full time

Benefits offered by this job

Leave policy

Childcare reimbursement

Certifications sponsorship

Employee assistance program

Hospitalization insurance

Term life insurance

Health screening

Job summary

Deutsche Bank AG in Pune, India, seeks a Risk Data Validation & Control Associate to perform QA on regulatory metrics, validate RWA exposure analyses, and support TC and CRDU-related activities. You will navigate risk engine algorithms, conduct root-cause analyses, and collaborate with global stakeholders to ensure accurate regulatory reporting.

The role emphasizes data quality, analytics support for Finance and Risk teams, and the application of AI-enhanced productivity tools while maintaining

Qualifications

• Knowledge of ECB CRR/CRD and Basel requirements.
• Understanding of exposure calculations under SA-CCR and IMM.
• Analytical mindset with problem-solving abilities.
• Experience with process changes and cross-functional collaboration.

Responsibilities

• Complete month-end QA controls and validate regulatory metric variances.
• Analyze RWA exposure and other regulatory metrics (CVA, EC, EL).
• Calculate exposures and post results to relevant platforms.
• Perform root cause analysis on exposure calculations and communicate findings to stakeholders.

Skills

Regulatory requirements

Exposure calculations

Analytical thinking

Problem solving

Interpersonal communication

Organized working style

Tools

Python

Excel VBA

MicroStrategy

MS Access

Job description

Deutsche Bank AG in Pune, India, seeks a Risk Data Validation & Control Associate to perform QA on regulatory metrics, validate RWA exposure analyses, and support TC and CRDU-related activities. You will navigate risk engine algorithms, conduct root-cause analyses, and collaborate with global stakeholders to ensure accurate regulatory reporting.

The role emphasizes data quality, analytics support for Finance and Risk teams, and the application of AI-enhanced productivity tools while maintaining