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For Companies At a Glance
- Tasks: Lead data analysis to detect fraud and enhance business performance.
- Company: Join a team dedicated to fighting financial crime and protecting customers.
- Benefits: Enjoy a collaborative culture, opportunities for growth, and impactful work.
- Why this job: Make a real difference by using data to prevent fraud and improve customer outcomes.
- Qualifications: Experience in data science or analytics, with strong problem-solving skills required.
- Other info: Ideal for self-starters who thrive under pressure and value accuracy.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Our client is looking for a Senior Data Analyst to join their Financial Crime, Claims and Operations Oversight team. This is your opportunity to use data for good — detecting fraud, strengthening controls, and influencing how they protect their customers and their business.
Responsibilities;
As a Senior Fraud Data Analyst, you’ll play a vital role in fraud prevention, governance, and operational risk oversight. You’ll:
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Lead data analysis and machine learning initiatives to detect suspicious activity and organised fraud
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Build predictive models and insight tools that enhance fraud detection, customer understanding, and business performance
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Ensure oversight and compliance across claims and operational processes, supporting fair customer outcomes
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Deliver high-impact reporting and dashboards to senior leaders and external bodies
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Collaborate with stakeholders across the business to identify risks and shape prevention strategies
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Support and inspire a team, fostering a culture of accountability, performance, and continuous improvement
Requirements;
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Proven experience in data science, pricing, actuarial, or a related analytics function
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Strong skills in problem-solving, numerical analysis, and working with large datasets
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Knowledge of machine learning and statistical techniques
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Experience with UK General Insurance and personal lines (desirable)
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Excellent communication skills – able to explain complex ideas clearly to technical and non-technical audiences
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A self-starter who thrives under pressure, values accuracy, and supports others to do the same
Senior Fraud Data Analyst employer: MERJE Ltd
Contact Detail:
MERJE Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Fraud Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in fraud detection and prevention. Understanding current methodologies and technologies, especially in machine learning, will help you stand out during discussions with potential employers.
✨Tip Number 2
Network with professionals in the financial crime and data analytics sectors. Attend industry events or join relevant online forums to connect with others who can provide insights or even refer you to opportunities at companies like us.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to solve problems or improve processes in your previous roles. Being able to articulate your impact will demonstrate your value to potential employers.
✨Tip Number 4
Showcase your ability to communicate complex ideas clearly. Practice explaining your past projects to both technical and non-technical audiences, as this skill is crucial for a Senior Fraud Data Analyst role.
We think you need these skills to ace Senior Fraud Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, fraud detection, and machine learning. Use specific examples that demonstrate your problem-solving skills and ability to work with large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using data to combat fraud. Mention how your previous experiences align with the responsibilities of the Senior Fraud Data Analyst role and how you can contribute to the company's goals.
Showcase Technical Skills: Clearly outline your technical skills related to data science and machine learning in your application. Include any relevant tools or programming languages you are proficient in, as well as any experience with predictive modelling.
Prepare for Interviews: If selected for an interview, be ready to discuss your analytical approach to fraud detection. Prepare to explain complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
How to prepare for a job interview at MERJE Ltd
✨Showcase Your Analytical Skills
As a Senior Fraud Data Analyst, you'll need to demonstrate your strong analytical abilities. Be prepared to discuss specific examples of how you've used data analysis and machine learning in previous roles to detect fraud or improve processes.
✨Understand the Business Context
Familiarise yourself with the financial crime landscape and the specific challenges faced by the company. Showing that you understand their business model and how fraud impacts it will set you apart from other candidates.
✨Prepare for Technical Questions
Expect questions related to machine learning techniques and statistical methods. Brush up on your knowledge of predictive modelling and be ready to explain how you've applied these concepts in real-world scenarios.
✨Communicate Clearly
Since the role requires explaining complex ideas to both technical and non-technical audiences, practice articulating your thoughts clearly. Use simple language to describe your past projects and the impact they had on fraud detection and prevention.
