At a Glance
- Tasks: Lead Credit Strategy, Portfolio Analytics, and Model Development using advanced credit risk models.
- 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 analytics while building and mentoring a talented team.
- Qualifications: Must have UK lending experience; strong background in analytics and decision science required.
- Other info: Exciting chance to work with machine learning in a dynamic environment.
The predicted salary is between 111000 - 259000 £ per year.
Job Description
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
Get in touch for more info!
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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 will help you stand out as a candidate who understands the local market and its nuances.
✨Tip Number 2
Connect with professionals in the FinTech space on LinkedIn. Engaging with their content and sharing your insights on credit risk analytics can position you as a knowledgeable candidate.
✨Tip Number 3
Consider attending industry conferences or webinars focused on credit risk and data science. These events are great for networking and may lead to direct connections with hiring managers.
✨Tip Number 4
Stay updated on the latest trends in machine learning applications within credit risk. Being able to discuss these topics intelligently can set you apart in interviews and discussions.
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 successfully implemented credit risk strategies or analytics.
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 you have used in your previous roles.
Demonstrate Leadership Abilities: As this position involves building and leading a team, highlight your leadership experience. Provide examples of how you have managed teams, mentored analysts, or driven projects to success.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job posting to ensure your application resonates with the hiring team and showcases your fit for the role.
How to prepare for a job interview at InterQuest Group
✨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 and how that experience can benefit the company.
✨Demonstrate Your Technical Skills
Be prepared to discuss your knowledge of advanced credit risk models and machine learning techniques. Bring examples of how you've applied these methods in past roles, and be ready to explain your thought process.
✨Leadership and Team Building
Since this role involves building a team of analysts and data scientists, share your experiences in leadership and team development. Talk about how you motivate teams and foster a collaborative environment.
✨Prepare for Strategic Discussions
Expect questions about credit strategy and portfolio analytics. Prepare to discuss your vision for these areas and how you would approach developing strategies that align with the company's goals.