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- Tasks: Lead the development of credit risk strategies and optimize our lending portfolio.
- Company: Join a leading fintech that values innovation and data-driven decision making.
- Benefits: Work in London 3 times a week with a competitive salary up to £100,000.
- Why this job: Be at the forefront of fintech, using AI and analytics to drive business growth.
- Qualifications: Experience in credit risk strategy and proficiency in SQL or Python required.
- Other info: Collaborate with diverse teams and stay ahead of industry trends.
The predicted salary is between 60000 - 84000 £ per year.
CREDIT RISK STRATEGY MANAGER
LONDON- 3 TIMES A WEEK
UP TO £100,000
Join a leading fintech where you'll be leading the Development of Credit Risk Strategies:
THE ROLE
- Lead the Development of Credit Risk Strategies: Design and implement robust credit risk models and frameworks to optimize our lending portfolio and minimize defaults.
- Data-Driven Decision Making: Leverage advanced analytics, AI, and machine learning to assess borrower risk and develop actionable insights that drive business growth.
- Collaborate with Cross-Functional Teams: Work closely with product, finance, data science, and compliance teams to create comprehensive credit policies that align with company objectives.
- Continuous Improvement: Stay ahead of industry trends and emerging technologies to continuously refine our credit risk strategies and introduce new, innovative solutions.
REQUIREMENTS
- Credit risk strategy experience
- Experience with SQL or python
HOW TO APPLY
Please apply below or send CV
Credit Risk Strategy Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Strategy Manager
✨Tip Number 1
Familiarize yourself with the latest trends in credit risk management and fintech. This will not only help you understand the industry better but also allow you to speak confidently about innovative solutions during your interview.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project or case study that showcases your ability to analyze data and develop credit risk models.
✨Tip Number 3
Network with professionals in the fintech space, especially those who work in credit risk. Engaging in discussions can provide insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 4
Prepare examples of how you've successfully collaborated with cross-functional teams in the past. Highlighting your teamwork skills will demonstrate your ability to align credit policies with broader company objectives.
We think you need these skills to ace Credit Risk Strategy Manager
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in credit risk strategy. Provide specific examples of how you've designed and implemented credit risk models or frameworks in previous roles.
Showcase Technical Skills: Since the role requires experience with SQL or Python, include any relevant projects or tasks where you utilized these skills. Mention specific tools or technologies you are proficient in.
Demonstrate Data-Driven Decision Making: Illustrate your ability to leverage analytics, AI, and machine learning in your previous work. Use metrics or outcomes to show how your data-driven insights have positively impacted business growth.
Collaborative Mindset: Discuss your experience working with cross-functional teams. Highlight any successful collaborations with product, finance, data science, or compliance teams that led to improved credit policies.
How to prepare for a job interview at Harnham
✨Showcase Your Credit Risk Expertise
Be prepared to discuss your previous experience in developing credit risk strategies. Highlight specific models or frameworks you've designed and how they positively impacted lending portfolios.
✨Demonstrate Data-Driven Decision Making
Familiarize yourself with advanced analytics, AI, and machine learning concepts. Be ready to explain how you've used these tools in past roles to assess borrower risk and drive business growth.
✨Highlight Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with product, finance, data science, and compliance teams to create effective credit policies.
✨Stay Updated on Industry Trends
Research current trends and emerging technologies in credit risk management. Be ready to discuss how you can apply this knowledge to continuously improve credit risk strategies at the company.
