Specialist, Data Analysis

**JOB SUMMARY**
- The Financial crime end to end Programme aims to evaluate FC processes E2E to improve client experience, enhance control effectiveness and deliver cost transparency. The Financial Crime Data Analytics Specialist is a pivotal role focused on driving data-driven insights across the entire financial crime lifecycle pan bank (CIB and WRB), to produce comprehensive process and cross functional data driven insights.
- This role requires a strategic thinker with the ability to assess financial crime processes, analyze costs, and uncover opportunities to optimize operations and reduce inefficiencies while maintaining regulatory compliance.

**RESPONSIBILITIES**

**1. Comprehensive Financial Crime Process Analytics**
- Conduct detailed analyses of financial crime workflow
- Collect data from e2e processes across functions to uncover insights that are not typically covered within function’s analytics including identify inefficiencies, bottlenecks, and redundancies across teams and systems.
- Assess how financial crime processes interact, ensuring that dependencies between functions (e.g., alert triaging and case escalation) are optimized.

**2. Financial Crime Cost and Resource Analysis**
- Analyze financial crime cost structures, focusing on operational, technology, and resource-related expenses.
- Identify cost drivers and inefficiencies, providing recommendations for cost optimization without compromising compliance or effectiveness.
- Monitor and report on the financial impact of operational changes, including automation and resource allocation adjustments.

**3. Data Integration and Management**
- Aggregate data from multiple systems and functions, ensuring consistency, accuracy, and completeness.
- Integrate external data sources such as sanctions lists, adverse media feeds, and various detection systems to enrich analytics.
- Ensure adherence to data governance and regulatory requirements, establishing trusted datasets for comprehensive analysis.

**4. Advanced Analytics and Insight Generation**
- Use statistical and predictive analytics to identify trends, anomalies, and emerging risks in financial crime processes.
- Develop models to analyze false positive rates, throughput times, and alert-to-case conversion rates, identifying areas for improvement.
- Provide actionable insights to enhance the effectiveness and efficiency of risk detection and mitigation processes.

**5. Reporting, Visualization, and Performance Monitoring**
- Design interactive dashboards and detailed reports tailored to the needs of compliance, risk, and senior leadership teams.
- Create visualizations that clearly communicate key metrics and highlight areas of risk, inefficiency, and opportunity.
- Establish metrics and KPIs to continuously monitor the performance of financial crime functions and their integration points.

**6. Driving Process Improvements**
- Collaborate with process owners to implement data-driven recommendations for improving workflows, reducing manual effort, and streamlining operations.
- Support the adoption of advanced technologies such as automation, machine learning, and AI to enhance detection capabilities and reduce operational burdens.
- Conduct root cause analyses to address recurring inefficiencies, ensuring sustainable improvements across functions.

**7. Stakeholder Engagement and Collaboration**
- Partner with Compliance, Risk, Operations, and Technology teams to ensure alignment on analytics initiatives and regulatory expectations.
- Act as a bridge between financial crime functions, fostering collaboration and holistic problem-solving.
- Support audit and regulatory requests by providing comprehensive data analysis and insights into financial crime operations.

**8. Continuous Learning and Adaptation**
- Stay informed about regulatory changes, industry best practices, and emerging financial crime typologies.
- Incorporate evolving risks and trends into analytics models and reporting frameworks.
- Evaluate and refine analytics tools, methodologies, and processes to adapt to the dynamic financial crime landscape.

**Key Deliverables**
- Development of end-to-end financial crime performance metrics.
- Analytical models to assess costs, resource utilization, and process effectiveness.
- Interactive dashboards providing transparency for FC E2E processes
- Data-driven recommendations for process improvements and cost reduction initiatives.
- Reports for senior management highlighting opportunities for optimization and progress on key initiatives.

**Strategy**
- Provide input to the vision of bank’s Financial Crime processes to future proof the bank.
- Continuously develop knowledge of business processes and understanding of industry best practice.

**Business**
- Partner with stakeholders across the organisation (WRB, CIB, FCSO, FCC CIO, Data)

**Processes**
- Understand WRB and CIB processes related to Financial Crime business strategy and align process improvements and metrics to these p