# Credit Risk Data Unit, AS

**Company**: Deutsche Bank
**Location**: Pune
**Experience**: senior
**Job type**: full-time
**Category**: Finance
**Industry**: Finance

**Apply**: https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Pune---Business-Bay/Credit-Risk-Data-Unit--AS_R0456626-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/credit-risk-data-unit-as-159201f4-be6/

## Description

We are seeking an Associate for our Credit Risk Data Unit team in Pune, India.

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.

**Your key responsibilities**

- 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.

**What we’ll offer you**

- 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 skills and experience**

- 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.

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## Skills

### Required
- credit risk controls
- banking operations
- finance
- audit
- change delivery
- business process improvement
- Microsoft Excel
- Word
- PowerPoint
- SQL
- workflow automation tools
- AI
- machine-learning applications
- data quality
- anomaly detection
- document analysis
- root-cause investigation
- management reporting
- generative AI
- AI assistants

### Nice to have
- CFA
- FRM

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