At a Glance
- Tasks: Build foundational models and analytics for SME lending products.
- Company: Lenkie Inc., a fintech innovator focused on fair financial access.
- Benefits: Competitive salary, meaningful equity, and hybrid work model.
- Other info: Collaborate with leadership and shape data science practices.
- Why this job: Make a real difference for small businesses in need of financial support.
- Qualifications: Deep credit risk experience and strong data science skills.
The predicted salary is between 60000 - 80000 € per year.
Lenkie Inc. is seeking a (Senior) Data Scientist with deep credit risk experience to build foundational models and analytics for SME lending products. You will work closely with leadership, defining data science practices and supporting strategic projects.
We offer a competitive salary, meaningful equity, and a hybrid work model from our London office. Join us in making a difference for small businesses seeking fair financial access.
Founding Data Scientist: Credit Risk for Fintech (Hybrid) in London employer: Lenkie Inc.
Lenkie Inc. is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact small businesses seeking fair financial access. With competitive salaries, meaningful equity, and a hybrid work model from our vibrant London office, we prioritise employee growth and development, ensuring you have the resources and support to thrive in your role as a Data Scientist.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Data Scientist: Credit Risk for Fintech (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in credit risk. A friendly 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 science projects, especially those related to credit risk. This will help you stand out and demonstrate your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data science concepts and coding skills. Use mock interviews to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with the role and our mission.
We think you need these skills to ace Founding Data Scientist: Credit Risk for Fintech (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in credit risk and data 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 fintech and how you can contribute to our mission of providing fair financial access to small businesses.
Showcase Your Analytical Skills:In your application, include examples of how you've used data to drive decisions or build models. We love seeing concrete results, so share any metrics or outcomes that demonstrate your impact!
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 Lenkie Inc.
✨Know Your Credit Risk Inside Out
Make sure you brush up on your credit risk knowledge before the interview. Understand the key metrics and models used in SME lending, as well as any recent trends in the fintech space. This will show Lenkie Inc. that you're not just a data scientist, but one who truly understands the nuances of credit risk.
✨Showcase Your Analytical Skills
Prepare to discuss specific projects where you've built models or analytics related to credit risk. Be ready to explain your thought process, the tools you used, and the impact your work had. This will help demonstrate your hands-on experience and how you can contribute to their strategic projects.
✨Align with Their Mission
Lenkie Inc. is all about making a difference for small businesses. Make sure to express your passion for fair financial access during the interview. Share any relevant experiences or insights that align with their mission, showing that you’re not just looking for a job, but a chance to make a real impact.
✨Prepare Questions for Leadership
Since you'll be working closely with leadership, come prepared with thoughtful questions about their vision for data science at Lenkie Inc. This shows your interest in the role and helps you gauge if their goals align with your career aspirations. Plus, it sets a collaborative tone right from the start!
