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For Companies At a Glance
- Tasks: Lead credit strategy, portfolio analytics, and develop advanced credit risk models using machine learning.
- Company: Join a cutting-edge consumer lending FinTech making waves in the industry.
- Benefits: Competitive salary up to £185k and opportunities for professional growth.
- Why this job: Shape a team of 10-15 experts while driving innovation in credit risk analytics.
- Qualifications: Must have UK lending experience and a strong background in analytics and decision science.
- Other info: Exciting chance to upskill and lead in a dynamic environment.
The predicted salary is between 111000 - 259000 £ per year.
Director of Credit Risk Analytics & Decision Science – up to £185k – London
I am currently partnered with a consumer lending FinTech on a Director of Credit Risk Analytics & Decision Science opportunity. The role will primarily involve work across Credit Strategy, Portfolio Analytics and Model Development (including advanced credit risk models combining traditional methods with machine learning). The role also provides the incoming Director an opportunity to upskill and build out a function of 10-15 Analysts, Data Scientists and Managers.
Get in touch for more info!
(Must have UK lending experience)
Director of Credit Risk Analytics & Decision Science employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Credit Risk Analytics & Decision Science
✨Tip Number 1
Make sure to highlight your experience in UK lending during networking events or conversations. This is crucial for standing out, as the role specifically requires this background.
✨Tip Number 2
Connect with professionals in the FinTech space on LinkedIn. Engaging with content related to credit risk analytics and decision science can help you get noticed by recruiters and industry leaders.
✨Tip Number 3
Stay updated on the latest trends in machine learning applications within credit risk modeling. Being knowledgeable about these advancements will demonstrate your expertise and passion for the field.
✨Tip Number 4
Consider reaching out to current or former employees of the company to gain insights into their culture and expectations. This can provide you with valuable information that can be used during interviews.
We think you need these skills to ace Director of Credit Risk Analytics & Decision Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk analytics and decision science, particularly within the UK lending sector. Emphasize any relevant projects or roles that showcase your expertise in advanced credit risk models and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that clearly articulates your passion for the role and the FinTech industry. Discuss how your background aligns with the responsibilities of the position, especially in leading teams and developing credit strategies.
Showcase Leadership Experience: In your application, highlight any previous leadership roles or experiences where you successfully managed teams of analysts or data scientists. Provide examples of how you have built or upskilled teams in the past.
Demonstrate Technical Proficiency: Include specific examples of your technical skills related to model development and analytics. Mention any tools, programming languages, or methodologies you are proficient in that are relevant to the role.
How to prepare for a job interview at InterQuest Group
✨Showcase Your UK Lending Experience
Make sure to highlight your specific experience in the UK lending market. Discuss any relevant projects or roles you've held that demonstrate your understanding of the unique challenges and regulations in this sector.
✨Demonstrate Your Analytical Skills
Prepare to discuss your experience with credit strategy, portfolio analytics, and model development. Be ready to provide examples of how you've successfully implemented advanced credit risk models, especially those that integrate traditional methods with machine learning.
✨Leadership and Team Building
Since this role involves building and leading a team of analysts and data scientists, be prepared to talk about your leadership style. Share examples of how you've successfully managed teams in the past and how you plan to develop talent within your new team.
✨Stay Current with Industry Trends
Familiarize yourself with the latest trends and technologies in credit risk analytics and decision science. Being able to discuss recent advancements or case studies will show your passion for the field and your commitment to continuous learning.
