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- Tasks: Lead the Data Science function, developing credit models and enhancing profitability.
- Company: Join a dynamic FinTech lender in the UK with a collaborative team culture.
- Benefits: Enjoy a competitive salary, private medical care, and 25 days holiday.
- Why this job: Make a real impact on business performance while growing your skills in a fast-paced environment.
- Qualifications: Experience in predictive modelling, SQL, Python, and knowledge of the credit lifecycle is essential.
- Other info: Work 3 days in the office and be part of an innovative team.
The predicted salary is between 120000 - 140000 £ per year.
£120,000-140,000 (dependent on experience)
London - 3 days in office
Great opportunity with a scaling FinTech lender in the UK. This business offers a fast-paced and driven work environment, with a really collaborative team culture that encourages employee development and growth.
THE COMPANY
This dynamic and fast-paced lender is seeking a driven and experienced individual to join their team to own their modelling function, across credit risk, collections, fraud and more. You'd work as an Individual Contributor to lead the Data Science function to make an impact on business performance.
THE ROLE
- Develop 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 implementation and impact of predictive models across the product suite
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience developing predictive models
- SQL and Python experience is essential
- Highly desirable to have had experience in Consumer Lending and a strong understanding of the credit lifecycle
- Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech is a plus
SALARY AND BENEFITS
- Base salary from £120-140,000 depending on experience
- Private medical care
- 25 days holiday
- Cycle to work scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the 'Apply' link.
Head of Data Science - Credit Risk employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science - Credit Risk
✨Tip Number 1
Network with professionals in the FinTech industry, especially those who work in data science and credit risk. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Familiarise yourself with the latest machine learning techniques and tools that are commonly used in credit risk modelling. Being able to discuss these during your interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Prepare to showcase your experience with SQL and Python by discussing specific projects where you developed predictive models. Highlight any quantifiable results that came from your work to illustrate your impact.
✨Tip Number 4
Research the company’s current products and their approach to credit risk. Understanding their business model and challenges will allow you to tailor your conversation and show how you can contribute to their success.
We think you need these skills to ace Head of Data Science - Credit Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing predictive models, particularly with SQL and Python. Emphasise any relevant work in consumer lending and your understanding of the credit lifecycle.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to lead modelling functions. Mention specific examples of how you've used innovative machine learning techniques to drive business performance.
Highlight Relevant Skills: In your application, clearly outline your skills in machine learning, data analysis, and project management. Make sure to connect these skills to the requirements listed in the job description.
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.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨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've developed predictive models, as this will demonstrate your technical expertise and relevance to the role.
✨Understand the Credit Lifecycle
Familiarise yourself with the credit lifecycle and be ready to discuss how your previous experience in consumer lending can contribute to the company's goals. This knowledge will show that you understand the industry and can make an immediate impact.
✨Demonstrate Your Problem-Solving Skills
Prepare examples of how you've used innovative machine learning techniques to solve complex problems in past roles. This will illustrate your ability to think critically and creatively, which is essential for leading the Data Science function.
✨Emphasise Collaboration and Team Culture
Since the company values a collaborative team culture, be sure to share experiences where you've successfully worked within a team. Highlight your ability to communicate effectively and support others, as this aligns with their work environment.
