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Senior Fraud Analyst

Harnham - Data & Analytics Recruitment

West Midlands

On-site

GBP 50,000 - 70,000

Full time

Today
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Job summary

A leading fintech recruitment agency is seeking an experienced Senior Fraud Strategy Analyst to develop and implement strategies for fraud prevention. This role requires proficiency in SAS, SQL, and Python, with a strong focus on application fraud. The ideal candidate will leverage their experience to analyze fraud patterns and develop effective measures in collaboration with various vendors. Join us to enhance fraud performance in a dynamic environment.

Qualifications

  • Proficiency in SAS, SQL, and/or Python required.
  • In-depth knowledge of different types of fraud, especially Application Fraud.
  • Experience with fraud analytics and risk mitigation.

Responsibilities

  • Craft and implement effective fraud strategies.
  • Utilize SAS, SQL, and Python for data analysis.
  • Manage and mitigate application fraud risks.
  • Collaborate with vendors for enhanced fraud prevention.
  • Align strategies with regulatory requirements.

Skills

SAS
SQL
Python
Fraud analysis
Application fraud
Job description

One of our fintech banking clients is looking for a strong Senior Fraud Strategy Analyst to join their fraud analytics function where you will be developing fraud strategies and providing insights on fraud performance using tools like SAS, SQL, and Python.

Responsibilities:

As a Senior Fraud Strategy Analyst, you will be responsible for:

  • Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers
  • Utilizing SAS, SQL, and Python to analyse data, identify fraud patterns, and develop new fraud rules.
  • Managing and mitigating various types of fraud with a focus on application fraud.
  • Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration.
  • Leveraging your experience in the UK fraud to align strategies with regulatory requirements and industry best practices.

Key Requirements:

  • Proficiency in SAS, SQL, and/or Python
  • In-depth knowledge of different types of frauds, ideally with experience in Application Fraud.
  • Experience working with different fraud ...
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