At a Glance
- Tasks: Lead credit risk strategies and analyse performance in the German lending market.
- Company: Join a dynamic FinTech that's revolutionising lending through data-driven decisions.
- Benefits: Enjoy a competitive salary, bonus, pension scheme, equity, and 25 days holiday.
- Other info: Work in London three days a week with a focus on innovation and collaboration.
- Why this job: Be part of a growing company with a strong culture and impactful work in finance.
- Qualifications: Must have SQL experience and knowledge of credit risk strategies in the German market.
The predicted salary is between 48000 - 64000 £ per year.
Senior Data Scientist / Credit Risk Analyst Remote (UK) £70,000 - £85,000 Join a growing fintech using data, AI and analytics to transform the payments space. This is a high-impact role offering exposure to credit risk, fraud, machine learning and commercial strategy, with direct access to senior leadership. The Company A venture-backed fintech in the payments space. They combine advanced analytics, machine learning and alternative data sources to help customers make smarter, faster risk decisions. The Role Build and improve credit risk, fraud and pricing models Use analytics to inform strategy, limit optimisation and decisioning Develop machine learning solutions and predictive models Monitor portfolio performance and identify emerging risks Work with customers and partners to solve complex risk challenges Collaborate closely with founders and senior stakeholders Your Skills
Senior Credit Risk Analyst employer: Harnham
Join a dynamic and forward-thinking B2B company that prioritises data-driven decision making and offers a fully remote work environment across the UK. With a strong focus on employee growth, you will have the opportunity to lead a talented team while shaping the marketing analytics strategy in a rapidly expanding organisation. Enjoy a collaborative work culture that values innovation and provides significant investment in your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Credit Risk Analyst
✨Tip Number 1
Familiarise yourself with the German lending market. Understanding local regulations, trends, and customer behaviours will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your SQL skills. Since it's essential for the role, being able to demonstrate your proficiency in SQL during technical discussions can significantly boost your chances.
✨Tip Number 3
Prepare examples of previous credit risk strategies you've developed. Be ready to discuss how these strategies impacted business outcomes, especially in relation to SME or business lending.
✨Tip Number 4
Network with professionals in the FinTech space, particularly those focused on credit risk. Engaging with industry peers can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL and credit risk strategies. Emphasise any previous work in the German lending market, as this is essential for the role.
Craft a Compelling Cover Letter:Write a cover letter that showcases your understanding of the FinTech industry and how your skills align with the company's goals. Mention specific examples of your work with credit risk and customer analytics.
Highlight Relevant Skills:In your application, clearly outline your analytical skills and experience with statistical models. This will demonstrate your capability to drive insights into book performance and customer behaviour.
Follow Application Instructions:Ensure you send your application through the specified 'Apply' link and address it to Rosie Walsh. Double-check that all documents are attached and formatted correctly before submission.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since previous experience in SQL is essential for this role, be prepared to discuss your proficiency. Bring examples of how you've used SQL in past projects, particularly in relation to credit risk analysis.
✨Demonstrate Knowledge of the German Market
Highlight your understanding of the German lending market during the interview. Discuss any relevant experiences or insights you have that could benefit the company's strategies in this area.
✨Prepare for Technical Questions
Expect technical questions related to credit risk strategies and statistical models. Brush up on key concepts and be ready to explain how you've applied them in your previous roles.
✨Engage with Stakeholders
Since the role involves close interaction with stakeholders, prepare to discuss your experience in collaborating with internal teams. Share examples of how you've successfully communicated complex data insights to non-technical audiences.
