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- Tasks: Develop risk models and analyse large data sets to detect anomalies.
- Company: Leading fintech company in London with a focus on innovation.
- Benefits: Flexible hybrid work, competitive salary, and career-defining opportunities.
- Why this job: Make a real impact in credit risk modelling while enjoying work-life balance.
- Qualifications: Experience in credit risk principles and strong SQL programming skills.
- Other info: Join a dynamic team with excellent growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech company in London is seeking a Senior Risk Data Scientist to develop risk models and data-driven identification processes. You will analyze large data sets using SQL and programming skills to detect anomalies, implement Rating Scorecards, and maintain Credit Risk reporting systems. This role offers a career-defining opportunity with flexibility for hybrid work, allowing three days in the office. Ideal candidates have experience in credit risk principles within payments or lending environments.
Senior Risk Data Scientist - Credit Risk Modeling in London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Risk Data Scientist - Credit Risk Modeling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working in credit risk. A casual chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving SQL and risk modelling. This will give you an edge during interviews and help us see your practical experience.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions related to credit risk and data science. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Risk Data Scientist - Credit Risk Modeling in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and programming skills in your application. We want to see how you can analyse large data sets and detect anomalies, so don’t hold back on showcasing your experience!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Risk Data Scientist role. We love seeing candidates who take the time to align their experiences with our needs, especially in credit risk principles.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our fintech team.
How to prepare for a job interview at Checkout Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the data sets relevant to credit risk. Brush up on your SQL skills and be ready to discuss how you've used data to identify anomalies in past roles. Being able to articulate your experience with large data sets will show that you’re the right fit for the role.
✨Understand Credit Risk Principles
Familiarise yourself with the key principles of credit risk, especially in payments or lending environments. Be prepared to discuss specific models you’ve developed or worked with, and how they impacted decision-making. This knowledge will demonstrate your expertise and commitment to the field.
✨Prepare for Technical Questions
Expect technical questions related to risk modelling and data analysis. Practice explaining your thought process when developing Rating Scorecards or maintaining reporting systems. Clear communication of your technical skills can set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you’ve tackled challenges in previous roles. Whether it’s a complex data issue or a model that didn’t perform as expected, demonstrating your problem-solving approach will highlight your analytical mindset and resilience.
