Fraud Analytics Manager
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Fraud Analytics Manager

Leeds Full-Time 65000 - 91000 £ / year (est.) No home office possible
Apply now
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At a Glance

  • Tasks: Lead fraud strategy development and manage detection systems to protect customers.
  • Company: Join a growing UK Bank focused on innovative fraud analytics.
  • Benefits: Enjoy a competitive salary, bonus, pension scheme, and 26 days holiday.
  • Why this job: Make a real impact in fraud prevention while leading a dynamic team.
  • Qualifications: Experience in fraud strategy and detection systems is essential; SQL knowledge required.
  • Other info: Opportunity for career growth in a supportive environment.

The predicted salary is between 65000 - 91000 £ per year.

This growing UK Bank are seeking an experienced candidate to lead hands-on analytical Fraud strategy and policy as well as lead a small team. This role offers an excellent opportunity to drive insight in a hands-on analytical role, whilst owning projects and profitability for the business.

THE ROLE

  • Leading the development of fraud rules and strategies to reduce incidences of Fraud and further protect customers and the bank.
  • Manage and oversee fraud detection systems to ensure issues and risks are being actioned.
  • Analyse a range of customer data to drive insight into suspicious activity, customer trends and wider portfolio activity.
  • Leading a small team to enhance the performance of the business as well as drive improvements in fraud policy.

YOUR SKILLS AND EXPERIENCE:

  • Prior experience within fraud strategy is essential.
  • Prior experience working with Fraud Detection systems is essential.
  • Essential to have had experience using SQL - Python is desirable.
  • Prior management experience is essential.
  • Desirable to have experience working with Credit Cards.

SALARY AND BENEFITS

  • Up to £65,000 starting salary.
  • Discretionary bonus.
  • Pension contribution scheme.
  • 26 days holiday.
  • Private medical scheme.

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link.

Fraud Analytics Manager employer: Harnham - Data & Analytics Recruitment

This growing UK Bank is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in Leeds and across the UK. With competitive salaries, a discretionary bonus, and a robust pension scheme, employees enjoy a comprehensive benefits package alongside 26 days of holiday and private medical coverage. The company prioritises employee growth, providing opportunities to lead impactful projects and develop skills in fraud analytics, making it an ideal place for those seeking meaningful and rewarding careers.
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Contact Detail:

Harnham - Data & Analytics Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Fraud Analytics Manager

✨Tip Number 1

Familiarise yourself with the latest trends in fraud detection and prevention. Being knowledgeable about current technologies and methodologies will not only help you in interviews but also demonstrate your passion for the field.

✨Tip Number 2

Network with professionals in the banking and fraud analytics sectors. Attend industry events or join relevant online forums to connect with others who can provide insights or even refer you to opportunities within their organisations.

✨Tip Number 3

Prepare to discuss specific examples of how you've successfully implemented fraud strategies in the past. Highlighting your hands-on experience with fraud detection systems and your management skills will set you apart from other candidates.

✨Tip Number 4

Research the company thoroughly before your interview. Understanding their values, recent developments, and challenges in the fraud landscape will allow you to tailor your responses and show that you're genuinely interested in contributing to their success.

We think you need these skills to ace Fraud Analytics Manager

Fraud Strategy Development
Fraud Detection Systems Management
SQL
Python
Data Analysis
Team Leadership
Customer Insight Analysis
Risk Management
Project Management
Communication Skills
Problem-Solving Skills
Attention to Detail
Credit Card Fraud Knowledge
Analytical Thinking

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in fraud strategy and management. Emphasise your familiarity with fraud detection systems and any relevant technical skills, such as SQL and Python.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fraud analytics. Discuss specific projects or achievements that demonstrate your ability to lead a team and develop effective fraud strategies.

Highlight Relevant Experience: In your application, clearly outline your previous roles related to fraud analytics. Mention any experience you have with credit cards and how it relates to the position you're applying for.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial in fraud analytics.

How to prepare for a job interview at Harnham - Data & Analytics Recruitment

✨Showcase Your Analytical Skills

As a Fraud Analytics Manager, you'll need to demonstrate your analytical prowess. Be prepared to discuss specific examples of how you've developed fraud rules or strategies in the past. Highlight your experience with SQL and any projects where you used data analysis to drive insights.

✨Discuss Team Leadership Experience

Since this role involves leading a small team, it's crucial to convey your management experience. Share stories that illustrate your leadership style, how you've motivated your team, and any successful outcomes from your guidance.

✨Familiarise Yourself with Fraud Detection Systems

Make sure you understand the fraud detection systems relevant to the role. Research common tools and technologies used in the industry, and be ready to discuss how you've interacted with these systems in your previous roles.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about potential fraud cases you might encounter and how you would approach them, including the steps you would take to mitigate risks.

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