

Financial Crime Analytics Consultant - Transaction Monitoring and Fraud
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Financial Crime Analytics Consultant focused on transaction monitoring and fraud. It requires 3+ years of financial crime experience, advanced Excel and Power BI skills, and expertise in data analytics. Contract length and pay rate are unspecified.
π - Country
United Kingdom
π± - Currency
Unknown
-
π° - Day rate
-
ποΈ - Date discovered
June 12, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
London
-
π§ - Skills detailed
#Scala #VBA (Visual Basic for Applications) #Compliance #Automation #Monitoring #Microsoft Power BI #Strategy #BI (Business Intelligence)
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
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 β e.g. defining requirements, functionality testing. Main responsibilities This section describes the βareasβ of responsibility (max. 6) Business Area Responsibilities You may also wish to consider responsibilities for: Risk and Compliance Change Management Γ Ensure the financial crime detection, prevention and analytics strategy is effectively implemented, thorough analysis is continuously undertaken and failure and risk is reported. Γ Ensure the risk engine is maintained and rules performance is continuously assessed and improved to meet the continuously evolving challenge from fraudsters. Γ Identify fraud & financial crime trends and solutions, feeding back to the Financial Crime Manager. Γ Identify opportunities to use data driven solutions, analytics and automation to prevent financial crime, optimise processes and reduce costs. Γ Interpret supplier and third-party data to monitor the performance of internal and third party fraud models (FIS/Adyen), escalate and resolve related issues. Γ 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.