Senior Fraud Analyst

Harnham
London
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Data Science Property & Lifestyle

Senior Data Scientist - Private Equity Consulting

Senior Data Scientist - Private Equity Consulting

Senior Data Engineer

Senior Data Analyst

Senior Data Engineer

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.