At a Glance
- Tasks: Deliver credit risk analytics and build predictive models using Python and SQL.
- Company: Global fintech company with a fully remote and collaborative culture.
- Benefits: Competitive salary up to £75,000 plus additional benefits.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Make an impact in credit risk while working with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and credit risk or fraud analytics.
The predicted salary is between 75000 - 75000 € per year.
Up to £75,000 Remote (UK Based)
The Company
They are 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 Basingstoke, Hampshire employer: Harnham
As a global fintech leader, this company offers an exceptional remote work environment that fosters collaboration and innovation in credit risk solutions. Employees benefit from competitive salaries, a strong emphasis on professional development, and the opportunity to work with cutting-edge technologies like Python and GenAI. With a culture that values teamwork and creativity, this is an ideal place for data scientists looking to make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Credit Risk) in Basingstoke, Hampshire
✨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 common data science questions, particularly around predictive modelling and credit strategies. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Data Scientist (Credit Risk) in Basingstoke, Hampshire
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 match 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 for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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.
