Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Fraud Analyst

be:technology
Nottingham
9 months ago
Applications closed

Related Jobs

View all jobs

Staff Data Scientist - Fraud

Senior Data Scientist – Anti-Fraud & Quality Intelligence

Lead Research Data Scientist | Fraud Detection in Market Research

Claims Data Scientist

Data Scientist - Risk Analysis

Data Scientist

Job Title:Junior Fraud Analyst

Location:Nottingham (1 day WFH)

Salary:£25k


Are you ready to make your mark in the online gaming industry? A prestigious client, recognised as a leader in the digital gaming space, is looking for a Fraud Analyst to join their team. This is your chance to work in a fast-paced, innovative environment where your analytical skills will play a crucial role in combating fraud.


Why This Role Has Opened:Our client is expanding their fraud prevention department to maintain their high standards of integrity and player security. This growth has created an opportunity for a driven Fraud Analyst to step in and make a real impact.


What’s In It for You?

  • Flexible working hours (core hours 9:30 am - 3:30 pm)
  • 7.5% bonus paid in three instalments throughout the year
  • Annual inflation pay increases and performance reviews
  • Early finish Fridays (2.30pm)
  • Free food onsite
  • New state of the art office
  • Onsite parking
  • Life insurance
  • Sick pay
  • Regular work events – parties, socials, activities
  • Access to extensive training and development opportunities
  • Casual dress code and a sociable work environment


Essential Skills:

  • A degree in Mathematics, Statistics, or Data Science
  • Proficiency in SQL
  • Advanced Excel skills, particularly in statistical modelling and pivot tables
  • Excellent communication and data storytelling skills
  • Strong problem-solving abilities and analytical thinking


Day-to-Day Responsibilities:

  • Analysing data to identify and prevent fraudulent activities
  • Checking the mathematical accuracy of all games on a weekly basis
  • Verifying wins are correct and not false or fraudulent on jackpots up to £8m
  • Building reports for fraud detection and prevention
  • Collaborating with various departments to ensure seamless operations
  • Complying with investigation requests from external organisations
  • Conduct regular audits of transactions and user activity to identify any irregularities or potential fraudulent behaviour.


Join a Forward-Thinking Team:This role offers a unique blend of analytical challenges and strategic thinking. If you're passionate about data and fraud prevention and are eager to contribute to a thriving team, this is the perfect opportunity for you.


Ready to Take the Next Step?Apply now and be part of a company that values innovation, growth, and excellence in the online gaming industry. Send your CV today!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.