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- Tasks: Lead credit risk analytics and optimise models for better product performance.
- Company: Dynamic financial services company based in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by driving improvements in credit and product performance.
- Qualifications: Strong background in credit risk analytics and excellent problem-solving skills.
- Other info: Collaborative environment with a focus on data science and AI.
The predicted salary is between 43200 - 72000 £ per year.
A financial services company in Greater London is looking for a Credit Risk Analytics Lead. This role involves leading decision science, optimizing credit models, and providing insightful data analysis to enhance product performance.
You will collaborate closely with teams to utilize data science and AI, while also managing stakeholder interactions.
Ideal candidates will have a robust background in credit risk analytics, exceptional problem-solving skills, and the ability to communicate complex insights clearly.
This position offers an opportunity to drive significant improvements in credit and product performance.
Lead Credit Risk Analytics & Growth Insights employer: Kriya
Contact Detail:
Kriya Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Credit Risk Analytics & Growth Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those involved in credit risk analytics. A casual chat can lead to valuable insights and even job leads.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work in credit risk analytics. Use real examples to demonstrate how you've optimised models or provided data-driven insights that improved product performance.
✨Tip Number 3
Ace the interview! Brush up on your problem-solving skills and be ready to discuss complex data analysis scenarios. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Lead Credit Risk Analytics & Growth Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk analytics and decision science. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing candidates who can communicate complex insights clearly.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in the past. We’re looking for exceptional problem-solving skills, so share specific instances where your analytical abilities made a difference.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Kriya
✨Know Your Numbers
Make sure you brush up on key metrics and models related to credit risk analytics. Be prepared to discuss how you've optimised credit models in the past and the impact it had on product performance.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex problems using data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly demonstrate your thought process.
✨Communicate Clearly
Since this role involves managing stakeholder interactions, practice explaining complex insights in a straightforward manner. You might want to prepare a few examples of how you've successfully communicated data findings to non-technical audiences.
✨Collaborate and Connect
Highlight your experience working with cross-functional teams. Be ready to discuss how you’ve collaborated with others to leverage data science and AI in your previous roles, as teamwork is crucial for this position.
