Purpose of the role
To enable data driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Accountabilities
- Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification; document data sources, methodologies, and quality findings with recommendations for improvement.
- Design and build data pipelines to automate data movement and processing.
- Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
- Translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
- Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad hoc stakeholder needs.
Assistant Vice President Expectations
- Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
- Collaborate closely with other functions/business divisions.
- Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
- Set objectives, coach employees, appraise performance relative to objectives, and determine reward outcomes.
- Demonstrate clear leadership behaviours (Listen, Energise, Align, Develop); for an individual contributor, lead collaborative assignments, guide team members, identify needs for additional specialisation, and identify new directions for assignments and projects.
- Consult on complex issues, provide advice to People Leaders, identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
- Take ownership for managing risk and strengthening controls in relation to the work done.
- Engage in complex analysis of data from multiple sources, internal and external, to solve problems creatively and effectively.
- Communicate complex information and influence or convince stakeholders to achieve outcomes.
Qualifications
- Proven track record of leading end to end analysis of KYC/KYB onboarding journeys, translating regulatory (AML, sanctions, financial crime) requirements into clear business rules, process flows, and system capabilities aligned to risk and compliance standards.
- Experience acting as SME for onboarding and financial crime domains, driving requirement definition across customer due diligence (CDD), enhanced due diligence (EDD), screening, monitoring, and refreshing processes.
- Experience defining and optimising onboarding journeys (SME & corporate) by mapping current state vs target state processes, identifying control gaps, and enabling straight through processing and improved customer experience.
- Experience collaborating with Risk, Compliance, Financial Crime, Operations, and Technology teams to ensure regulatory obligations are embedded into decisioning, workflow, and data models across onboarding platforms.
- Ability to produce high quality BA artefacts (BRDs, user stories, process maps, data mappings, control frameworks) to support platform migration to SaaS and ensure traceability from regulatory requirement to technical delivery.
- Highly pro active, self starter, positive attitude, learning aptitude, ability to get things done, excellent stakeholder communication skills.
Location
The successful candidate will be based in London at 1 Churchill Place or 7 Westferry Circus (new BPL office). Hybrid working pattern with 3 days per week office based presence expected.