Credit Risk Data Unit, AS

Job Description:

Job Title: Credit Risk Data Unit, AS

Location: Pune, India

Corporate Title: Associate

Role Description

• The Credit Risk Data Unit delivers quality-assured, timely and transparent finance-relevant risk data and analysis to key stakeholders. The team manages end-to-end processes for critical risk metrics, maintaining strong controls, regulatory compliance and operational efficiency while using data, automation and AI-enabled capabilities to improve accuracy, insight and decision-making.
• This role sits within the Global Risk Data Control and Validation Group Function team, which aggregates, validates and submits credit exposure data to FDW in line with BCBS standards. The data supports the Bank’s downstream regulatory and regional reporting, including Credit Risk RWA, Leverage Exposure and Regulatory Capital. RDV-GF is part of the Credit Risk Data Unit within Group Finance and works closely with CRDU, Business Finance, Accounting Close, Book Runners, source-system teams and FDW IT support. The process is centrally managed from Pune and combines strong control execution with continuous improvement, intelligent automation and responsible use of AI.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

The Risk Data Control group are responsible for :

• Process relevant feeds and adjustments in strategic systems to ensure high-quality data flows into regulatory reporting platforms.

• Manage transaction, collateral and facility data from strategic source systems and approved manual feeds across all in-scope asset classes and businesses.

• Process risk feeds, branch ledger and sub-ledger data required for monthly reconciliations.

• Produce reconciliations against control checks and the posted balance sheet, investigate exceptions and maintain breaks within agreed thresholds.

• Distribute break details, obtain clear commentary, identify root causes and coordinate timely resolution with product control and other stakeholders.

• Identify opportunities to simplify controls and use workflow automation, analytics and AI-assisted tools to improve data quality, reduce manual effort and strengthen operational resilience.

Responsibilities/Tasks:

• Act as the subject matter expert for assigned risk data control processes and provide clear guidance on controls, data lineage and issue resolution.
• Ensure data submitted to Group regulatory reporting systems is complete, accurate, validated and correctly mapped to key reference data.
• Deliver reconciliations and control checks against the posted balance sheet, investigate exceptions and keep breaks within approved analytical thresholds.

• Perform supervisory quality assurance reviews within agreed service levels and maintain complete, audit-ready evidence.

• Provide production support during unplanned absences, platform stabilization and business continuity scenarios.

• Serve as the first point of escalation for operational, control and data-quality issues.

• Coordinate issue resolution with the Team Lead, Operations Manager, technology teams and other stakeholders; track actions through to sustainable closure.

• Support post-process reviews of performance, incidents and control outcomes; identify root causes and drive corrective and preventive actions.

• Monitor workload, capability and overtime; escalate capacity or delivery risks and support effective allocation of work.

• Maintain current process, control and data-lineage documentation and support regular control reviews.

• Build team resilience through cross-training, knowledge sharing and effective backup coverage.

• Review management information, trends and key indicators covering monthly submissions, control performance and data quality; translate findings into concise stakeholder insights.

• Use approved automation, analytics and AI-enabled tools to detect anomalies, priorities exceptions, accelerate root-cause analysis and improve reporting, with appropriate human oversight and adherence to data-security, model-risk and governance requirements.

• Identify, assess and document automation opportunities; define requirements, support testing and measure benefits such as reduced manual effort, improved accuracy and faster turnaround.

• Support the Team Lead in setting clear objectives and providing fair, evidence-based performance feedback aligned with organizational standards.

• Support change-the-bank projects and strategic improvement initiatives, including data, automation and AI use cases.

• Partner with Change teams to maintain and deliver a prioritized remediation book of work based on data-quality and process diagnostics.

• Coordinate with project teams to deliver improvements to processes, controls and outputs, including requirements definition, user acceptance testing and implementation readiness.

• Ensure effective audit engagement, evidence coordination and timely closure of findings.

• Support the Team Lead with resource planning, succession planning, training, development and adoption of new digital capabilities.

Your skills and experience

Experience/Exposure:

• 6–7 years of relevant experience in credit risk controls, banking operations, finance, audit, change delivery or business process improvement.

• Good understanding of banking products, including debt, securities financing transactions and derivatives, with working knowledge of Global Markets products.

• Working knowledge of credit risk management, Basel requirements and regulatory guidance relating to risk-weighted assets, leverage exposure and IFRS 9 credit loss measures.
• Advanced skills in Microsoft Excel, Word and PowerPoint; practical experience with SQL, workflow automation tools is desirable.
• Hands-on experience identifying and implementing process automation, such as low-code workflows, robotic process automation, scripting or automated controls.

• Practical understanding of AI and machine-learning applications in data quality, anomaly detection, document analysis, root-cause investigation or management reporting.

• Experience using generative AI or AI assistants responsibly to improve productivity and insight, including prompt design, output validation, human oversight and protection of confidential data.

• Strong reconciliation and quantitative analysis skills, with the ability to interpret complex data and communicate clear conclusions.

• Strong stakeholder management skills and the ability to work effectively across teams, functions and regions.

Education/Certification:

• Bachelor’s degree in finance, Accounting, Business, Economics, Banking, Computer Science, Information Technology, Data Analytics or a related discipline.
• Preferably CFA or FRM qualified.

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.