Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop predictive models for credit risk using innovative machine learning techniques.
- Company: Join a leading FinTech that's rapidly growing and making an impact in the market.
- Benefits: Enjoy a competitive salary, share options, pension scheme, and private medical care.
- Why this job: Be part of a dynamic team driving profitability and enhancing performance in a fast-paced environment.
- Qualifications: Experience in credit risk modelling, SQL, Python, and machine learning is essential.
- Other info: Opportunities for growth and collaboration with Credit and Product teams.
The predicted salary is between 48000 - 64000 £ per year.
This successful FinTech is a leader in the market and is going from strength to strength. They are a dynamic and fast-paced lender seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.
THE ROLE
- Work across a range of credit models within the business, predominantly scorecards and broader decisioning models.
- Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business.
- Own the deployment and implementation of predictive models across the product suite.
- Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements.
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience developing predictive models within a Credit Risk setting.
- SQL and Python experience is essential.
- Essential to have experience using Machine Learning techniques to develop non-linear models.
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech.
SALARY AND BENEFITS
- Base salary from £60-80,000 depending on experience.
- Share options.
- Company pension scheme.
- Private medical care.
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link. If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.
Senior Data Scientist – Credit Risk Modelling employer: Harnham Ltd
Contact Detail:
Harnham Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Credit Risk Modelling
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk modelling and machine learning techniques. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the FinTech industry, especially those working in credit risk. Attend relevant meetups or webinars to make connections that could lead to referrals or insider information about the company culture and expectations.
✨Tip Number 3
Prepare to showcase your experience with SQL and Python through practical examples. Be ready to discuss specific projects where you successfully implemented predictive models, as this will highlight your hands-on skills and problem-solving abilities.
✨Tip Number 4
Research the company’s current products and any recent news about their growth or innovations. This knowledge will allow you to tailor your conversation during the interview, showing that you are genuinely interested in contributing to their success.
We think you need these skills to ace Senior Data Scientist – Credit Risk Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing predictive models, particularly in a Credit Risk setting. Emphasise your skills in SQL and Python, as well as any relevant machine learning techniques you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the FinTech industry and your understanding of credit risk modelling. Mention specific projects or achievements that demonstrate your ability to enhance model performance and profitability.
Showcase Relevant Experience: In your application, provide examples of your work in fast-paced environments and how you've successfully managed multiple projects. Highlight any collaboration with credit and product teams to illustrate your teamwork skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which is crucial for a Senior Data Scientist role.
How to prepare for a job interview at Harnham Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL and Python during the interview. Be prepared to discuss specific projects where you developed predictive models, especially in a Credit Risk setting, as this is crucial for the role.
✨Demonstrate Your Knowledge of Machine Learning
Since the role involves using innovative machine learning techniques, be ready to explain how you've applied these methods in past projects. Discuss any non-linear models you've developed and the impact they had on business outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in a fast-paced environment. Prepare examples of how you've managed multiple projects simultaneously and collaborated with cross-functional teams to enhance model performance.
✨Research the Company and Its Market Position
Familiarise yourself with the company's position in the FinTech market and its recent developments. This will not only show your interest but also help you tailor your responses to align with their goals and values.
