Senior Fraud Analyst

MERJE Ltd; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading recruitment consultancy is seeking a Senior Fraud Analyst for a prominent financial services company. This position focuses on developing and optimising fraud detection strategies and analysing large datasets using tools like SQL and Python. The ideal candidate will possess a strong background in fraud prevention and analytics. Opportunities to engage with industry peers and contribute to fraud prevention efforts are available in this dynamic role.

Qualifications

• Proven experience in fraud analytics or financial crime prevention.
• Strong background in fraud strategy development.
• Proficiency in SQL and/or SAS, with interest in Snowflake and Python.

Responsibilities

• Develop and refine fraud detection rules across applications.
• Monitor fraud trends and recommend proactive countermeasures.
• Analyse large datasets using SQL, SAS, Snowflake, and/or Python.

Skills

Fraud analytics

Data analysis

Fraud strategy development

SQL

SAS

Python

Education

Bachelor's degree in a relevant field

Tools

SQL

SAS

Snowflake

Python

Job description

Overview

MERJE is seeking a highly skilled Senior Fraud Analyst for a leading financial services company in the lending sector. This role combines deep fraud expertise with strong analytical skills to develop and optimise fraud detection strategies across various products and channels. The ideal candidate will have a strong background in fraud prevention and data analysis.

Location: Kent/London/West Yorkshire

The Role

The Senior Fraud Analyst position offers an exciting opportunity to play a crucial role in protecting the company and its customers from financial loss and reputational damage. This role involves developing fraud detection strategies, analysing large datasets, and contributing to industry-wide fraud prevention efforts.

Key Responsibilities

• Develop and refine fraud detection rules across applications, transactions, and digital channels
• Monitor fraud trends and recommend proactive countermeasures
• Analyse large datasets using SQL, SAS, Snowflake, and/or Python
• Contribute to fraud-related projects and system enhancements
• Engage with industry peers and forums to stay informed on evolving fraud trends

Required knowledge and experience

• Proven experience in fraud analytics or financial crime prevention
• Strong background in fraud strategy development
• Proficiency in SQL and/or SAS, with interest in Snowflake and Python
• Experience with fraud detection systems and behavioural analytics
• Bachelor\'s degree in a relevant field or equivalent experience