At a Glance
- Tasks: Lead fraud detection efforts by analysing transaction data and building detection rules.
- Company: Join a dynamic fintech company focused on innovation in card and lending solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a fast-paced team where your contributions directly influence product success.
- Why this job: Make a real impact in the fight against fraud while developing your analytical skills.
- Qualifications: Strong background in data analysis, SQL proficiency, and a proactive problem-solving mindset.
The predicted salary is between 60000 - 80000 £ per year.
Requirements:
- A strong data analyst background in a fintech or digital lending environment.
- You know what SMB or consumer transaction data looks like and you're comfortable working with messy, high-volume datasets.
- Proficient in SQL, including CTEs, window functions, and the difference between WHERE and HAVING.
- A genuine builder instinct; you find problems in the data and fix them without waiting to be told.
- Experience working end-to-end on analytical problems, owning the process through to deployment.
- Comfortable in a small, fast-moving team where the answer isn't always obvious and you have to work it out yourself.
- (Desirable) Direct experience working in card fraud, ideally within a bank, card issuer, or fintech operating on the issuing side.
- (Desirable) Hands-on familiarity with card fraud systems and the data that comes with them (Visa fraud platforms, CNP fraud, 3DS/SCA, PSD2 compliance).
- (Desirable) Experience with APP fraud or faster payment fraud systems is a strong bonus.
What the job involves:
- We're looking for a Senior/Lead Card Fraud Data Analyst/Analytics Manager to join our Fraud team.
- This is a hands-on, high-ownership role - you'll take direct responsibility for our fraud systems end-to-end, from onboarding fraud through to card fraud, and play a central part in building the capabilities we need as we launch new products.
- Write complex SQL queries to interrogate transaction and customer data, identify fraud signals, and surface emerging attack patterns.
- Design and build fraud detection rules from scratch, set thresholds based on data, and iterate based on live performance.
- Own rules end-to-end; you spot the pattern, build the detection, and monitor the outcome.
- Work across card and lending data to understand how our customers behave and where fraud risk sits in our specific product set.
- Contribute to fraud strategy as the team grows, including input into ML-based detection further down the line.
Lead Fraud Data Analyst - FinTech Card & Lending in London employer: Capital on Tap
Join a dynamic and innovative fintech company that prioritises employee growth and fosters a collaborative work culture. As a Lead Fraud Data Analyst, you'll have the opportunity to take ownership of critical fraud detection systems while working alongside a passionate team in a fast-paced environment. With a focus on professional development and a commitment to tackling real-world challenges, this role offers a rewarding career path in a thriving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Fraud Data Analyst - FinTech Card & Lending in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Capital on Tap!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Fraud Data Analyst - FinTech Card & Lending at Capital on Tap.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capital on Tap.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Fraud Data Analyst - FinTech Card & Lending at Capital on Tap, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Fraud Data Analyst - FinTech Card & Lending in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capital on Tap, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital on Tap. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capital on Tap
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capital on Tap!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
