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- Tasks: Develop and deploy predictive models to revolutionise consumer credit risk assessment.
- Company: A progressive fintech startup focused on financial inclusion.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a team making a real difference in equitable financial products.
- Qualifications: Quantitative degree and 2+ years experience in Fintech or Finance with strong Python skills.
- Other info: Enjoy autonomy in leading impactful projects in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A progressive fintech startup is seeking a Data Scientist and AI Engineer to develop and deploy innovative predictive models to transform consumer credit risk assessment. You will integrate traditional and advanced methodologies to create equitable financial products.
The ideal candidate holds a quantitative degree with 2+ years experience in Fintech or Finance, demonstrating strong Python skills and analytical capabilities.
Join a team at the forefront of financial inclusion with the autonomy to lead impactful projects.
Data Scientist & AI Engineer — Credit Risk & ML in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & AI Engineer — Credit Risk & ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and projects. We want to see your Python prowess and analytical capabilities in action, so don’t hold back!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you can integrate traditional and advanced methodologies. We’re looking for candidates who can think on their feet and lead impactful projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to find someone who’s passionate about transforming consumer credit risk assessment, so don’t miss out!
We think you need these skills to ace Data Scientist & AI Engineer — Credit Risk & ML in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any relevant experience in Fintech or Finance. We want to see how your background aligns with the role, so don’t hold back on showcasing your analytical capabilities!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your experience can help us develop innovative predictive models and contribute to equitable financial products. Personal touches go a long way!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for our team!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science concepts relevant to credit risk and machine learning. Brush up on predictive modelling techniques and be ready to discuss how you've applied them in past projects. This will show your potential employer that you can hit the ground running.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Practise coding challenges related to data manipulation and analysis to impress during the interview.
✨Understand the Fintech Landscape
Familiarise yourself with current trends in fintech, especially around consumer credit risk assessment. Be prepared to discuss how innovative models can improve financial inclusion. This shows that you’re not just a techie but also understand the business side of things.
✨Prepare Questions That Matter
Interviews are a two-way street, so think of insightful questions to ask about the company’s approach to integrating traditional and advanced methodologies. This demonstrates your genuine interest in the role and helps you assess if the company aligns with your values and career goals.
