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

Apply Now

Senior Fraud Analyst

Harnham
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Pricing

Senior Lead Machine Learning Scientist

Data Science Analyst

Data Science Analyst

Senior Machine Learning Engineer

Senior Data Scientist

SENIOR FRAUD ANALYST

UP TO £70,000

LONDON


This role is an exciting new role to work for one of the world’s leading fin-techs offering faster, and cheaper consumer finance. This business is among the top 10 fastest-growing tech companies in the UK.


THE COMPANY

This company is working on loans, credit cards, and car finance and aims to get money in customers' hands in only a few minutes, not days. The business is profitable, and growing fast, operating in both UK and US markets. The company is building some of the best technology, using machine learning, and AI.


THE ROLE

You will be doing the following daily:

  • Define the fraud strategy for the companies’ evolving portfolios.
  • Discover insights from data and develop new fraud strategies to answer key business questions.
  • Collaborate cross-functionally across the business to implement your fraud strategy into the market.
  • Monitor the success of the implemented strategy and continuously amend/discover new and further opportunities for improvement.
  • Utilise advanced technical skills to develop and implement fraud strategies, such as SQL and Python.


YOUR SKILLS AND EXPERIENCE

  • Daily coding experience, ideally Python and SQL.
  • Previous experience developing fraud strategies.
  • The ability to work and collaborate with other members of your team.
  • Excellent written and verbal communication skills.
  • Strong numerical degree from a Russel Group University.


THE BENEFITS

  • Up to £70,000 salary.
  • Best in-class compensation, including equity.
  • Private health insurance coverage.
  • Pension scheme.
  • Hybrid working model.


HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.