At a Glance
- Tasks: Lead the development of innovative credit decisioning models for SME lending.
- Company: Join a forward-thinking fintech company shaping the future of lending.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
- Why this job: Make a real impact by driving innovation in credit risk and lending strategies.
- Qualifications: Strong machine learning experience, proficiency in Python & SQL, and a solid understanding of UK credit risk.
The predicted salary is between 70000 - 90000 £ per year.
Requirements
- Strong experience in machine learning within lending (SME essential)
- Proficiency in Python & SQL
- Proven end-to-end model development experience
- Background in fintech and automated decisioning environments
- Solid understanding of UK credit risk & regulation
- Ability to communicate effectively with both technical and business stakeholders
- (Desirable) Consumer lending experience
- (Desirable) Experience with model governance & monitoring frameworks
- (Desirable) Strong commercial mindset and ownership attitude
What the job involves
- We’re looking for a Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending
- You’ll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data, risk, and product to shape the future of our lending strategy
- Build and deploy ML and statistical models for credit risk, affordability, and pricing
- Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring)
- Develop monitoring frameworks and performance dashboards
- Drive innovation through new data sources, challenger models, and experimentation (A/B testing)
- Translate complex models into clear, actionable business insights
Lead Decision Scientist, Credit Risk & SME Lending in Birmingham employer: Lovey
As a Lead Decision Scientist at our innovative fintech company, you'll thrive in a dynamic work culture that champions creativity and collaboration. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and innovation in the heart of the UK lending landscape. Join us to make a meaningful impact on SME lending while working with cutting-edge technology and a passionate team dedicated to shaping the future of credit risk decisioning.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Decision Scientist, Credit Risk & SME Lending in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those who work with credit risk and SME lending. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to lending. If you’ve built models or dashboards, make sure to highlight them. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and model governance. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both techies and business folks.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Lead Decision Scientist, Credit Risk & SME Lending in Birmingham
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong experience in machine learning, especially within SME lending. We want to see your proficiency in Python and SQL, so don’t hold back on showcasing your technical skills!
Tailor Your Application:Customise your application to reflect the job description. Mention your end-to-end model development experience and any background in fintech or automated decisioning environments. This helps us see how you fit into our team!
Communicate Clearly:Since you'll be working with both technical and business stakeholders, it’s crucial to demonstrate your ability to communicate complex ideas simply. Use clear language and examples in your application to show us you can bridge that gap.
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 this exciting opportunity to shape the future of our lending strategy!
How to prepare for a job interview at Lovey
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning knowledge, especially as it relates to lending and SME environments. Be ready to discuss specific models you've developed and how they impacted credit risk decisions.
✨Show Off Your Python & SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used these tools in past projects, so have some examples ready.
✨Understand the Regulatory Landscape
Familiarise yourself with UK credit risk regulations and how they affect decisioning processes. Being able to articulate this knowledge will show that you’re not just technically savvy but also aware of the broader context.
✨Communicate Like a Pro
Since you'll need to liaise with both technical and business stakeholders, practice explaining complex concepts in simple terms. Think about how you can translate your technical expertise into actionable insights for the business.
