At a Glance
- Tasks: Design and deploy real-time fraud strategies using ML models and data analysis.
- Company: Leading analytics firm in London focused on fraud risk management.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Other info: Dynamic work environment with opportunities to influence key decisions.
- Why this job: Make a real impact by combating fraud with innovative strategies and cutting-edge technology.
- Qualifications: 2-5+ years in fraud analytics, strong SQL and Python skills, and excellent communication.
The predicted salary is between 68807 - 86312 € per year.
Job details
Analytics
London
Full-time
£68,807 GBP - £86,312 GBP
What you will do
In this role, you will design, test, and deploy real-time fraud decisioning strategies - combining rules and ML models across products and markets, while analyzing high-volume event data to uncover emerging patterns such as account takeover, synthetic identities, mule activity, refund abuse, and first- or third-party fraud. You’ll run champion/challenger experiments and A/B tests and continuously monitor precision/recall, false-positive rate, approval rate, loss bps, chargeback rate, and customer friction. You’ll build detection features and signal pipelines in close partnership with Engineering, Product, and Data Science; lead incident response during fraud spikes with clear mitigations and post-mortems; and evaluate and integrate vendor signals device, identity, behavioral, telco, sanctions/PEP, and 3DS where they deliver measurable lift. Above all, you’ll translate insight into action through clear, concise specifications and rollout plans, supported by alerting dashboards and stakeholder updates that drive fast, high-quality decisions.
Who you are
- 2–5+ years in fraud strategy/analytics or credit underwriting/risk decisioning within payments, consumer finance, or large-scale e-commerce
- Hands-on with SQL and Python or R to prototype analyses and experiments
- Ownership of a production fraud/credit policy or modeling strategy with demonstrated KPI impact
- Strong experiment design skills (A/B testing, champion/challenger), metric trade-off evaluation, and post-deployment monitoring
- Excellent communication with senior stakeholders; able to influence and drive decisions quickly
Awesome to have
- Experience with fraud/risk vendor ecosystem (e.g., device fingerprinting, identity graphs, behavioral biometrics, 3DS/SCA) and structured evaluation methods
- Knowledge of PSD2/SCA/3DS and TRA exemptions; able to design compliant controls without harming conversion
- Exposure to LLM-assisted investigations (case summarization, entity extraction, workflow automation)
- On-call support experience during active fraud attacks and ability to perform under pressure
Please include a CV in English.
Senior Analyst/Analytics Manager - Fraud Risk in London employer: PLP Group
As a Senior Analyst/Analytics Manager in Fraud Risk at our London office, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that you can make a meaningful impact while advancing your career in the heart of one of the world's leading financial hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst/Analytics Manager - Fraud Risk in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to fraud risk analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Bring along examples of your past work, especially any A/B tests or fraud strategies you've implemented. We want to see how you’ve made an impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Analyst/Analytics Manager - Fraud Risk in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Analyst/Analytics Manager role. Highlight your experience in fraud strategy and analytics, especially any hands-on work with SQL and Python or R. We want to see how your skills align with what we’re looking for!
Showcase Your Impact:When detailing your previous roles, focus on the impact you’ve made. Use specific metrics to demonstrate how your fraud/credit policies or modelling strategies have influenced KPIs. We love seeing numbers that tell a story!
Communicate Clearly:Since this role involves working with senior stakeholders, make sure your application reflects your communication skills. Use clear and concise language to convey your ideas and experiences. We appreciate straightforwardness!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at PLP Group
✨Know Your Numbers
Make sure you’re familiar with key metrics related to fraud risk, such as precision/recall and false-positive rates. Be ready to discuss how you've impacted these metrics in your previous roles, as this will show your analytical prowess and understanding of the field.
✨Showcase Your Technical Skills
Brush up on your SQL and Python or R skills before the interview. Be prepared to discuss specific projects where you’ve used these tools to prototype analyses or run experiments. This will demonstrate your hands-on experience and technical capability.
✨Communicate Clearly
Practice explaining complex concepts in a straightforward manner. You’ll need to communicate effectively with senior stakeholders, so think about how you can translate your insights into actionable plans that are easy to understand.
✨Prepare for Scenario Questions
Expect questions about how you would handle real-time fraud scenarios or design A/B tests. Think through your approach to champion/challenger experiments and be ready to discuss your thought process and decision-making strategies.
