Deutsche Bank India | Credit Risk Data Unit, AS

Responsibilities

• 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.
• Manage transaction, collateral and facility data from strategic source systems and approved manual feeds across all in-scope asset classes and businesses.
• 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.
• 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.
• 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.
• Process relevant feeds and adjustments in strategic systems to ensure high-quality data flows into regulatory reporting platforms.
• Process risk feeds, branch ledger and sub-ledger data required for monthly reconciliations.
• 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.

Requirements

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

Deutsche Bank

Deutsche Bank is a leading German bank, founded in Berlin in 1870 and headquartered in Frankfurt. Its businesses span the Corporate Bank, the Investment Bank, the Private Bank and asset management through DWS, serving companies, institutions and individuals worldwide.

Deutsche Bank has been present in India since 1980. Besides its branch banking business, its Indian centres in Mumbai, Pune, Bengaluru and Jaipur support the group globally in technology, operations and finance. Finance professionals typically work in financial control, product control, regulatory reporting, tax, internal audit and risk.

• Industry: Banking and financial services
• Headquarters: Frankfurt am Main, Germany
• In India: Branch banking plus large global capability centres in Mumbai, Pune, Bengaluru and Jaipur