At a Glance
- Tasks: Lead data science initiatives in credit risk and fraud prevention using SQL and Python.
- Company: Join a leading consumer lending fintech in London, driving innovation and growth.
- Benefits: Enjoy a hybrid work model and a competitive salary of up to £140,000.
- Other info: Collaborate with senior stakeholders and enhance efficiency through automation.
- Why this job: Be at the forefront of data science, shaping strategies that impact customer experience and business success.
- Qualifications: Must have a STEM degree and strong experience in unsecured consumer lending and model development.
The predicted salary is between 84000 - 196000 £ per year.
I am currently hiring for a top consumer lending fintech based in London. They are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth.
The Role:
- Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
- Developing models for fraud prevention and models for customer analytics
- Working with senior stakeholders across different areas of the business being able to manage both down and up
- Setting out the data science and modeling roadmap for the business
- Improving efficiency with the development of automation across the business
- Cross-collaborating with other functions across the business to increase efficiency and revenue
Your Skills & Experience:
- Experience with Unsecured consumer lending
- Strong experience using SQL and Python across your career
- Experience owning and developing credit risk models
- Experience developing scorecards and decision models
- STEM Degree from a top University
Salary - Up to £140,000
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science Credit Risk & Fraud in London
✨Get to Grips with Data Visualisation Tools
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We think you need these skills to ace Head of Data Science Credit Risk & Fraud in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Harnham - Data & Analytics Recruitment, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Harnham - Data & Analytics Recruitment’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
