
Detecting Financial Irregularities and Enhancing Organisational Resilience
2 days ago
The organisation is seeking an experienced Lead Financial Crime Intelligence Analyst to join its team. The ideal candidate will possess strong analytical skills and be able to detect financial irregularities.
About the RoleThe organization is looking for a skilled data analyst to enhance its financial crime detection capabilities. As the Anti Money Laundering (AML) Systems and Data Analyst, you will be at the forefront of tackling everything from AML to Counter Terrorism Financing (CTF), Transaction Monitoring, Politically Exposed Persons, and Sanctions Screening.
Key Responsibilities- Produce and oversee regular data analytics deliverables related to Financial Crime Risk, including exploratory data analytics and end-of-month management information reporting.
- Manage the pipeline of AML projects, identifying and triaging Transaction Monitoring trigger events, and prioritising the pipeline backlog.
- Define and manage the process for new or modified detection scenarios, covering business requirements gathering, feasibility assessment, build, test, calibration, and decisions on implementation.
- Collaborate with stakeholders to align pipeline tasks with organisational goals, incorporating emerging risk findings into actionable outcomes.
- Previous experience working in a similar role preferably within financial crime, data analytics or pipeline management activities.
- Bachelor's or Master's in Data Science, Finance, Computer Science, or a related field.
- Proficiency in programming languages and data analytics tools (SQL, R, Python, Power BI, Data Bricks).
The organisation is a group of challenger brands with a purpose – to provide a genuine alternative to financial services for customers and employees.
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