At a Glance
- Tasks: Lead fraud analysis and support business decisions to enhance fraud prevention.
- Company: Join ClearScore, the UK's top credit score app with a global presence.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Why this job: Make a real impact in fraud prevention while working with innovative technology.
- Qualifications: Experience in data analysis, especially in fraud within financial services.
- Other info: Collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
ClearScore is searching for an experienced Fraud Data Analyst to join ClearScore on an initial 6 month contract. You will work closely with the Head of Risk & Compliance, the Head of Security and our Analytics function. You will be responsible for leading on the fraud analysis required to support business decisions and the ongoing monitoring of fraud risk. Analysts play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. This is an exciting new role, and you’ll play a key part in helping to build out ClearScore’s fraud prevention capabilities.
Responsibilities
- Creating, optimising and monitoring fraud dashboards
- Conducting detailed analysis to support proposed fraud mitigation measures, business decisions, and partner requests
- Helping to identify and support the mitigation of fraud related incidents
- Proactively monitoring new user registration data, spotting trends and supporting optimisation
- Attending monthly internal fraud meetings, providing input and helping to shape ClearScore’s fraud prevention strategy
- Monitoring industry trends relating to fraud and security
Requirements
- Several years experience in a data analytical role, focusing on fraud in a financial services environment
- Aptitude and passion for statistics/ mathematics. The majority of our Analysts have good degrees in STEM subjects or Economics. However we are looking for aptitude rather than education
- Experience with data analysis, including an understanding of statistical methods
- Proficiency in SQL is required for data querying, especially within Databricks or similar cloud data warehouses. Python knowledge is a plus
- Knowledge of tools like Excel, Domo, Tableau or similar platforms for generating reports and visualisations
- Proven track record of working independently whilst partnering with different areas of a matrix organisation
- Commercial awareness, with an understanding of credit products and user behaviour analytics
Desirable
- Preferable experience within FinTech/ lending
- Experience working with funnel based metrics
Why ClearScore?
ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do.
Equal Opportunities
ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.
Hybrid Model
We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity. Minimum 2 days per week in-office. We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration.
Inclusion Policy
We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people.
Fraud Data Analyst - Fixed-Term Contract (6months) employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Data Analyst - Fixed-Term Contract (6months)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ClearScore. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study related to fraud analysis. This will not only demonstrate your expertise but also your passion for the role.
✨Tip Number 3
Be proactive! Keep an eye on industry trends and be ready to discuss them in interviews. It shows you're engaged and knowledgeable about the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining ClearScore.
We think you need these skills to ace Fraud Data Analyst - Fixed-Term Contract (6months)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Fraud Data Analyst role. Highlight your experience in fraud analysis and data analytics, and show us how your skills align with what we're looking for at ClearScore.
Show Off Your Skills: Don’t hold back on showcasing your technical skills! If you’ve got proficiency in SQL or experience with tools like Tableau, let us know. We want to see how you can contribute to our fraud prevention capabilities.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and get straight to the point. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any other data analysis tools mentioned in the job description, like Excel or Tableau. Be ready to discuss how you've used these tools in past roles, especially in relation to fraud analysis.
✨Understand Fraud Trends
Familiarise yourself with current trends in fraud and security within the financial services sector. Being able to discuss recent incidents or industry changes will show that you're proactive and knowledgeable about the field.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical fraud-related scenarios. Think about how you would approach analysing data to identify fraud patterns and what measures you would recommend to mitigate risks.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in a matrix organisation. Highlight your ability to communicate effectively and drive strategy across different departments.