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For Companies At a Glance
- Tasks: Build and own credit models, improve decision-making processes, and analyse business KPIs.
- Company: A leading FinTech company specialising in consumer lending.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the finance sector using data-driven insights and innovative techniques.
- Qualifications: 2-4 years in decision science or risk analytics, strong modelling skills, and SQL proficiency.
- Other info: Join a dynamic team with a focus on operational efficiency and customer outcomes.
The predicted salary is between 36000 - 60000 £ per year.
My client, a specialist lending FinTech, is looking for a Decision Scientist to join the Credit & Risk function. This role will build and own models, and is ideal for someone with a data/analytics/credit background in the consumer finance space.
Responsibilities
- Develop, improve, and maintain credit and affordability models used in real-time decisioning
- Lead on analytics across credit and business KPIs
- Implement analytical tools, models, and decisioning frameworks to improve operational efficiency and support data-driven decision-making across the business
- Develop robust monitoring and reporting capabilities to track portfolio performance, identify emerging risks, and escalate material deviations from expected outcomes
- Apply statistical and machine-learning techniques to optimise approval rates, losses, and customer outcomes
- Monitor model performance, stability, and fairness over time
- Contribute to decision rules, scorecards, and credit strategies across the customer lifecycle
Requirements
- 2–4 years’ experience in decision science, data science, risk analytics, or a related role
- Experience in consumer finance
- Strong modelling skills
- Proficiency in SQL and Snowflake
- Experience working with large datasets
This role is offered mostly remote, with occasional (1 day per month) travel to London. Candidates must hold valid right to work in the UK.
Decision Scientist (Credit Risk) in City of London employer: JSS Search
Contact Detail:
JSS Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Decision Scientist (Credit Risk) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working in credit risk. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your modelling work and analytics projects. This is your chance to demonstrate how you can make a real impact in decision science.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on your SQL and machine-learning techniques. You might even want to run through some mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience in consumer finance and decision science – it’ll make you stand out!
We think you need these skills to ace Decision Scientist (Credit Risk) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Decision Scientist. Highlight your experience in data science and credit risk, and don’t forget to mention any relevant projects or tools you've used that align with the job description.
Showcase Your Skills: We want to see your modelling skills shine! Include specific examples of how you've applied statistical and machine-learning techniques in your previous roles, especially in consumer finance. This will help us understand your hands-on experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for decision science and how you can contribute to improving operational efficiency and customer outcomes at our FinTech company.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at JSS Search
✨Know Your Models Inside Out
Make sure you can discuss the credit and affordability models you've worked on in detail. Be prepared to explain your approach to developing, improving, and maintaining these models, as well as any statistical or machine-learning techniques you've applied.
✨Showcase Your Analytical Skills
Highlight your experience with analytics across credit and business KPIs. Bring examples of how you've implemented analytical tools and decisioning frameworks that improved operational efficiency. This will demonstrate your ability to support data-driven decision-making.
✨Be Ready to Discuss Data Handling
Since this role involves working with large datasets, be prepared to talk about your proficiency in SQL and Snowflake. Share specific instances where you've used these tools to monitor model performance or track portfolio performance.
✨Understand the Consumer Finance Landscape
Brush up on your knowledge of the consumer finance space. Be ready to discuss emerging risks and how you've contributed to decision rules and credit strategies. This shows you're not just a number cruncher but also understand the broader context of your work.
