Financial Crime Data Analyst at Shawbrook

Shawbrook

London, England, gb·1w ago

Entry LevelFull-timePython

Salary Range

$30,281 - $40,969 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Financial Crime Systems & Analytics Manager to join our team. This role focuses on safeguarding Shawbrook against financial crime risk while optimizing our detection systems and controls.

Key Responsibilities

→Conduct financial crime data analysis and investigations across a range of datasets, identifying suspicious activity, emerging typologies and systemic risks.
→Support configuration, testing and ongoing optimisation of financial crime systems (including fraud prevention, transaction monitoring and screening platforms).
→Develop and maintain management information dashboards and reporting packs, ensuring accuracy, timeliness and clear insight for senior stakeholders.
→Apply analytical tools and techniques (SQL, SAS, Python, Power BI etc.) to drive continuous improvement in financial crime detection and reduce false positives.
→Collaborate with 1st Line Financial Crime teams, 2nd Line Compliance, MLRO, Risk and IT to align system outputs with business needs and regulatory standards.
→Contribute to financial crime policy and framework updates, ensuring Shawbrook’s systems and processes remain aligned to FCA regulations, JMLSG guidance and wider best practice.
→Support risk-scoring, typology development and periodic reviews to strengthen Shawbrook’s risk-based approach to financial crime prevention.
→Provide meaningful input to governance materials, risk committees and project updates by translating technical findings into clear, actionable insight.
→Identify opportunities to automate reporting and streamline analysis processes, driving efficiency across the team.
→Provide peer support to colleagues and contribute to a positive, collaborative team culture.
→Deputise for the Financial Crime Systems & Analytics Manager as required, including overseeing day-to-day operations, staff supervision, and key decision-making.
→Provide leadership to the team (workload planning, coaching, 1:1s, performance feedback, recognition and wellbeing), fostering an inclusive, high-performance culture.