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For Companies At a Glance
- Tasks: Lead credit strategy and analytics, developing advanced risk models with 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 the future of credit risk while building and mentoring a talented team.
- Qualifications: Must have UK lending experience; leadership skills are a plus.
- Other info: Exciting chance to innovate in a fast-paced environment.
The predicted salary is between 111000 - 259000 £ per year.
Director of Credit Risk Analytics & Decision Science
InterQuest
Posted 6 days ago
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.
Minimum Requirements: Must have UK lending experience.
For more information about this role, please contact:
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Director of Credit Risk Analytics & Decision Science employer: InterQuest Solutions
Contact Detail:
InterQuest Solutions 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 will help you stand out as a candidate who understands the local market and its nuances.
✨Tip Number 2
Familiarize yourself with the latest trends in credit risk analytics and machine learning applications in finance. Being able to discuss these topics intelligently can set you apart in interviews.
✨Tip Number 3
Connect with professionals already working in similar roles within the FinTech sector. They can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Consider showcasing any leadership experience you have in building teams or managing projects. This is crucial for a Director role and can demonstrate your capability to lead a function of Analysts and Data Scientists.
We think you need these skills to ace Director of Credit Risk Analytics & Decision Science
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your UK lending experience in your CV and cover letter. Detail specific projects or roles where you have worked on credit risk analytics, portfolio management, or model development.
Showcase Technical Skills: Since the role involves advanced credit risk models and machine learning, include any relevant technical skills or tools you are proficient in. Mention specific programming languages, software, or methodologies that relate to credit risk analytics.
Demonstrate Leadership Abilities: As the position involves building and leading a team, highlight your leadership experience. Provide examples of how you have successfully managed teams or projects in the past, focusing on your ability to mentor and develop talent.
Tailor Your Application: Customize your CV and cover letter for this specific role. Use keywords from the job description to align your application with what the company is looking for, particularly around credit strategy and decision science.
How to prepare for a job interview at InterQuest Solutions
✨Showcase Your UK Lending Experience
Make sure to highlight your previous experience in the UK lending sector. Discuss specific projects or roles where you successfully managed credit risk analytics, as this will demonstrate your understanding of the market and its unique challenges.
✨Discuss Advanced Credit Risk Models
Prepare to talk about your experience with advanced credit risk models, especially those that integrate traditional methods with machine learning. Be ready to provide examples of how you've implemented these models and the impact they had on decision-making.
✨Emphasize Leadership Skills
Since the role involves building and leading a team of analysts and data scientists, be prepared to discuss your leadership style and experiences. Share examples of how you've successfully managed teams, mentored individuals, and fostered a collaborative environment.
✨Prepare Questions About the Company’s Strategy
Research the company’s current credit strategy and be ready to ask insightful questions. This shows your genuine interest in the role and helps you understand how you can contribute to their goals and objectives.
