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- Tasks: Enhance credit models and contribute to decision strategies in a dynamic FinTech environment.
- Company: Leading specialist lending FinTech focused on innovation and real-time decision-making.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in consumer finance with your data-driven skills.
- Qualifications: 2-4 years in decision science, strong SQL and Snowflake skills required.
- Other info: Occasional travel to London for team collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A specialist lending FinTech is looking for a Decision Scientist to enhance credit and affordability models critical to real-time decision-making. This position requires 2–4 years in decision science or related fields, with strong skills in SQL and Snowflake.
The role involves contributing to decision strategies and ensuring model performance, with mainly remote work and occasional travel to London. Ideal for candidates with a data-driven mindset in consumer finance.
Credit Risk Decision Scientist - Remote employer: JSS
Contact Detail:
JSS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Decision Scientist - Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working in credit risk or decision science. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got experience with SQL and Snowflake, make sure to highlight specific projects or achievements in your conversations. We want to see how you’ve used data to drive decisions in real-time.
✨Tip Number 3
Prepare for those interviews by brushing up on your decision-making strategies. Think about how you would enhance credit and affordability models and be ready to discuss your thought process. We love candidates who can think on their feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to contribute to our mission in consumer finance.
We think you need these skills to ace Credit Risk Decision Scientist - Remote
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Snowflake in your application. We want to see how you've used these tools in decision science or related fields, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to credit and affordability models, as this will show us you’re the right fit for our team.
Be Data-Driven: Since we’re all about data at StudySmarter, make sure your application reflects a data-driven mindset. Use metrics and examples to demonstrate how your decisions have positively impacted previous projects.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at JSS
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and Snowflake, as these are crucial for the role. Brush up on your data manipulation skills and be ready to discuss how you've used these tools in past projects.
✨Understand Credit Risk Models
Familiarise yourself with credit and affordability models. Be prepared to explain how you’ve contributed to decision strategies in previous roles and how you ensure model performance.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you’ve tackled complex problems in decision science. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical mindset.
✨Prepare Questions About the Company
Research the FinTech company and its approach to consumer finance. Prepare insightful questions that show your interest in their mission and how you can contribute to their goals, especially in enhancing credit decision-making.
