At a Glance
- Tasks: Deliver credit risk analytics and build predictive models using Python and SQL.
- Company: Global fintech company with a fully remote, collaborative culture.
- Benefits: Salary up to £75,000 plus additional benefits.
- Other info: Join a dynamic team focused on innovative financial solutions.
- Why this job: Make a real impact in credit risk solutions while working remotely.
- Qualifications: Experience in Python, SQL, and credit risk or fraud analytics.
The predicted salary is between 75000 - 75000 £ per year.
A global, fully remote fintech working across payments and credit risk. Their teams operate internationally collaborating on high impact risk and credit solutions. They use Python, SQL and GenAI tools heavily across the business.
The Role
- Deliver credit risk and fraud analytics across partner portfolios.
- Build predictive models and rules in Python and SQL.
- Develop and optimise credit strategies including pricing, limits and segmentation.
- Support bespoke insurance and risk solutions for complex merchant portfolios.
- Work closely with data, product and commercial teams.
Your Skills and Experience
- Strong commercial experience with Python and SQL.
- Background in credit risk or fraud analytics.
- Experience building supervised models.
- Comfortable solving open problems and communicating insight clearly.
- Interest in both analytics and modelling.
What They Offer
Salary up to £75,000 + Benefits
Locations
Data Scientist (Credit Risk) in Norfolk, Norwich employer: Harnham
As a global fintech leader in payments and credit risk, this company offers a dynamic remote work environment that fosters collaboration across international teams. Employees benefit from a culture of innovation, with ample opportunities for professional growth through hands-on experience in cutting-edge technologies like Python and SQL. With a focus on impactful analytics and bespoke solutions, this role not only provides competitive compensation but also the chance to contribute to meaningful projects that shape the future of credit risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Credit Risk) in Norfolk, Norwich
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with credit risk. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially those related to credit risk or fraud analytics. 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 problem-solving skills. Be ready to discuss how you've tackled open problems in the past and how you can apply that experience to their team. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team. Let's get you that job!
We think you need these skills to ace Data Scientist (Credit Risk) in Norfolk, Norwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and SQL, as well as any relevant work in credit risk or fraud analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled open problems or built predictive models. We’re keen on seeing how you approach challenges, so share those insights with us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you're well-versed in Python and SQL, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools to solve problems or build models.
✨Understand Credit Risk Fundamentals
Familiarise yourself with key concepts in credit risk and fraud analytics. Be prepared to discuss how you've applied these concepts in previous roles, especially in building predictive models or optimising credit strategies.
✨Prepare for Problem-Solving Questions
Expect to face open-ended questions that assess your problem-solving abilities. Think of examples from your past experience where you tackled complex issues, and be ready to explain your thought process clearly.
✨Show Your Collaborative Spirit
Since the role involves working closely with data, product, and commercial teams, highlight your teamwork experiences. Share examples of how you've successfully collaborated with others to deliver impactful solutions.
