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For Companies At a Glance
- Tasks: Lead the design and delivery of innovative risk solutions in lending and financing.
- Company: Join a leading global financial institution shaping the future of credit risk technology.
- Benefits: Enjoy flexible hybrid working and visa sponsorship for the right candidate.
- Why this job: Make a significant impact in a high-profile role with strong business support.
- Qualifications: Strong knowledge in lending, credit risk, and experience with Python and SQL required.
- Other info: Ideal for tech-savvy leaders passionate about credit markets and delivering impactful solutions.
The predicted salary is between 72000 - 108000 £ per year.
We're working with a leading global financial institution to find a senior technology leader to drive the delivery of data, analytics, and risk solutions across their lending syndication and financing risk business. This is a high-impact role at the intersection of credit, data, and modern software delivery - ideal for someone who thrives in complex environments and wants to shape the future of credit risk technology.
What You'll Be Doing
- Lead the design and delivery of scalable analytics and risk solutions supporting loan syndication, portfolio management, and financing risk.
- Collaborate with cross-functional teams including data engineers, software developers, data scientists, and business stakeholders.
- Translate business needs into modern, data-driven software solutions that improve decision-making and revenue optimization.
- Oversee the development of tools that support credit risk analytics, commercial loan pipelines, and portfolio optimization.
- Manage complex software projects, ensuring timely delivery, cost tracking, and alignment with business goals.
- Leverage AI and GenAI tools to enhance analytics capabilities and automation.
What We're Looking For
- Strong domain knowledge in lending, credit risk, and loan syndication. Essential.
- Proven experience delivering complex software and data solutions in financial services, while remaining business facing.
- Ability to engage with business stakeholders and translate domain problems into technical solutions.
- Hands-on experience with Python and SQL; familiarity with modern data and analytics stacks.
- Understanding of software architecture, data engineering principles, and batch/real-time data processing.
- Experience managing multi-disciplinary teams and delivering at scale.
Nice to Have
- Exposure to AI/GenAI tools in a financial context.
- Experience with portfolio analytics, CLOs, or synthetic financing products.
- CFA, FRM, or advanced degree in a quantitative field (Computer Science, Mathematics, Economics, etc.).
Why Apply?
- High-profile role with visibility across a critical business area.
- Opportunity to build new platforms and shape the tech strategy from the ground up.
- Broad remit, large user base, and strong business sponsorship.
- Flexible hybrid working (3 days in-office, with more flexibility for London-based candidates).
- Visa sponsorship available for the right candidate.
If you're a tech-savvy leader with a passion for credit markets and a track record of delivering impactful solutions, we'd love to hear from you.
Head of Lending & Financing Risk Technology employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Lending & Financing Risk Technology
✨Tip Number 1
Network with professionals in the lending and financing risk technology space. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 2
Showcase your experience with AI and GenAI tools in your discussions. Highlight any projects where you've successfully integrated these technologies into analytics or risk solutions, as this is a key focus for the role.
✨Tip Number 3
Prepare to discuss your approach to managing multi-disciplinary teams. Be ready to share examples of how you've led diverse groups to deliver complex software projects on time and within budget.
✨Tip Number 4
Familiarise yourself with the latest developments in credit risk technology and data analytics. Being well-versed in current tools and methodologies will help you engage effectively with business stakeholders during interviews.
We think you need these skills to ace Head of Lending & Financing Risk Technology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in lending, credit risk, and software delivery. Use specific examples that demonstrate your ability to manage complex projects and collaborate with cross-functional teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for credit markets and technology. Discuss how your background aligns with the role's requirements and how you can contribute to shaping the tech strategy of the company.
Showcase Technical Skills: Emphasise your hands-on experience with Python, SQL, and any relevant data analytics tools. Mention any exposure to AI/GenAI tools, as this is a nice-to-have for the position.
Highlight Leadership Experience: Detail your experience managing multi-disciplinary teams and delivering solutions at scale. Provide examples of how you've engaged with business stakeholders to translate their needs into technical solutions.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Domain Knowledge
Make sure to highlight your understanding of lending, credit risk, and loan syndication during the interview. Prepare specific examples from your past experiences that demonstrate your expertise in these areas.
✨Demonstrate Technical Proficiency
Be ready to discuss your hands-on experience with Python and SQL. You might be asked to solve a technical problem or explain how you've used these tools in previous projects, so brush up on relevant skills and examples.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, prepare to discuss how you've successfully collaborated with data engineers, software developers, and business stakeholders in the past. Highlight any specific projects where teamwork was key to success.
✨Prepare for AI and GenAI Discussions
Given the emphasis on leveraging AI and GenAI tools, be prepared to talk about your experience with these technologies. Think of examples where you've implemented AI solutions in financial contexts and how they enhanced analytics capabilities.
