Financial Crime Analytics Consultant - Transaction Monitoring and Fraud

Capitex

London, England, United Kingdom Hybrid contract

Posted: May 16, 2025

Job Description

Business Accountability

Responsible for performing financial crime analysis activities across all channels, driving MI and fraud modelling development. Implement, maintain and develop existing financial crime detection tools to improve detection, mitigate fraud losses and minimise genuine customer disruption.

Support and deputise for the Financial Crime Manager as delegated. Project and SME (subject matter expertise) representation – e.g. defining requirements, functionality testing.

Main responsibilities

This section describes the ‘areas’ of responsibility (max. 6)

Business Area Responsibilities

You may also wish to consider responsibilities for:

Risk and Compliance

Change Management

Ø Ensure the financial crime detection, prevention and analytics strategy is effectively implemented, thorough analysis is continuously undertaken and failure and risk is reported.

Ø Ensure the risk engine is maintained and rules performance is continuously assessed and improved to meet the continuously evolving challenge from fraudsters.

Ø Identify fraud & financial crime trends and solutions, feeding back to the Financial Crime Manager.

Ø Identify opportunities to use data driven solutions, analytics and automation to prevent financial crime, optimise processes and reduce costs.

Ø Interpret supplier and third-party data to monitor the performance of internal and third party fraud models (FIS/Adyen), escalate and resolve related issues.

Ø Represent the Financial Crime Team at internal business reviews and provide SME support on assigned projects. This includes the preparation and presentation of supporting MI material.

Requirements:
Minimum of 3 years Financial Crime experience gained in an online, ecommerce, banking, or merchant services business.

Advanced, proven proficiency in the use of Excel, VBA, Power BI, MS Access Database.

Highly analytical and numerate, competent in analysing and manipulating data.

Experience in data analytics.

Experience of using and maintaining a fraud rules engine.

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