Data Analyst - Fraud / Financial Crime
Data Analyst - Fraud / Financial Crime

Data Analyst - Fraud / Financial Crime

Temporary 50000 - 60000 £ / year (est.) Home office (partial)
F

At a Glance

  • Tasks: Analyse data to uncover fraud patterns and enhance fraud prevention strategies.
  • Company: Fast-growing FinTech organisation with a focus on innovation.
  • Benefits: Competitive salary, excellent benefits, and hybrid working options.
  • Why this job: Make a real impact in fraud prevention while collaborating with industry experts.
  • Qualifications: Experience in fraud analytics, strong SQL skills, and knowledge of data visualisation tools.
  • Other info: Join a dynamic team and shape the future of financial security.

The predicted salary is between 50000 - 60000 £ per year.

A fast‑growing FinTech organisation is looking for an experienced Data Analytics Specialist for a 12‑month contract. This is an exciting opportunity to take a leading role in strengthening fraud‑prevention capabilities and helping shape risk strategy across the business. Working closely with senior stakeholders across the organisation, you’ll use data‑driven insights to support business decisions, investigate fraud patterns and ensure proactive monitoring of emerging risks.

Responsibilities

  • Analyse user and behavioural data to spot emerging fraud patterns
  • Build and enhance dashboards that bring fraud trends and KPIs to life for key stakeholders
  • Investigate fraud incidents and translate findings into clear, actionable recommendations
  • Partner with Risk, Security, and Product teams to drive fraud‑prevention initiatives
  • Stay ahead of industry fraud trends, tools and techniques to support strategic decision‑making

Essential experience

  • Experience in a fraud / financial crime data analytics role in financial services / fintech
  • Experience analysing large datasets
  • Strong SQL skills for querying data
  • Experience using data visualisation / reporting tools e.g. Tableau
  • Understanding of statistical methods and how to apply them to real-world fraud problems

Salary & Benefits

Salary: £50 - 60,000 plus excellent benefits

Hybrid working: 3 Days per week in London office

Data Analyst - Fraud / Financial Crime employer: FinTech People

Join a dynamic FinTech organisation that prioritises innovation and collaboration, offering a vibrant work culture where your contributions directly impact fraud prevention strategies. With excellent benefits and opportunities for professional growth, including hybrid working arrangements, this role not only allows you to leverage your data analytics expertise but also positions you at the forefront of tackling financial crime in a fast-paced environment.
F

Contact Detail:

FinTech People Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst - Fraud / Financial Crime

✨Tip Number 1

Network like a pro! Reach out to people in the FinTech space, especially those working in fraud analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data visualisation projects or any dashboards you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and statistical methods. Be ready to discuss how you've used these skills to tackle real-world fraud problems. We want to see your analytical thinking in action!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Data Analyst - Fraud / Financial Crime

Data Analytics
Fraud Detection
Financial Crime Analysis
SQL
Data Visualisation
Tableau
Statistical Methods
Data Interpretation
Dashboard Development
Stakeholder Engagement
Risk Management
Proactive Monitoring
Behavioural Data Analysis
Emerging Risk Identification

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Data Analyst in Fraud/Financial Crime. Highlight your experience with fraud analytics, SQL skills, and any relevant tools you've used. We want to see how your background fits perfectly with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about fraud prevention and how your skills can help us strengthen our capabilities. Keep it engaging and make sure to connect your experiences to the responsibilities listed in the job description.

Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've analysed data to uncover fraud patterns or made recommendations that led to successful outcomes. We love seeing real-world applications of your expertise!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy—just follow the prompts and let us know why you’d be a great fit for our team!

How to prepare for a job interview at FinTech People

✨Know Your Data Inside Out

Before the interview, dive deep into your past experiences with data analytics, especially in fraud and financial crime. Be ready to discuss specific projects where you analysed large datasets and how your insights led to actionable recommendations.

✨Showcase Your SQL Skills

Since strong SQL skills are essential for this role, prepare to demonstrate your querying abilities. You might be asked to solve a problem on the spot, so brush up on your SQL syntax and be ready to explain your thought process as you work through it.

✨Visualisation is Key

Familiarise yourself with data visualisation tools like Tableau. Bring examples of dashboards you've created that highlight fraud trends and KPIs. Be prepared to discuss how these visuals helped stakeholders make informed decisions.

✨Stay Updated on Industry Trends

Research current fraud trends, tools, and techniques in the fintech space. Being able to discuss recent developments will show your passion for the field and your proactive approach to staying ahead of emerging risks.

Data Analyst - Fraud / Financial Crime
FinTech People

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

F
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>