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For Companies At a Glance
- Tasks: Design and build AI models for credit risk and lending strategies.
- Company: Established data and analytics organisation with a focus on innovation.
- Benefits: Salary between £80,000 and £90,000, career progression, and collaborative culture.
- Other info: Dynamic role with exposure to diverse projects in financial services.
- Why this job: Join a cutting-edge AI lab and influence real-world lending decisions.
- Qualifications: Experience in credit risk modelling and strong Python/SQL skills.
The predicted salary is between 80000 - 90000 £ per year.
This is a high-impact opportunity to join a newly established AI lab within a large, data-rich organisation, where AI is central to future product innovation and client delivery. Sitting at the senior end of the consultant band, this role offers real influence over how advanced analytics and AI are applied to complex, real-world lending decisions.
The Company
They are a well-established data and analytics organisation operating at scale across financial services and adjacent industries. With access to extensive proprietary datasets, they support clients in making more accurate, responsible decisions through advanced analytics and modelling. Their AI lab is a growing centre of excellence designed to accelerate innovation and embed AI across the wider business.
The Role
You will play a key role in developing and enhancing AI-driven solutions used across client and internal projects, with a strong focus on credit and lending use cases. Responsibilities include:
- Designing and building AI and machine learning models to support lending, risk, and decisioning strategies.
- Developing and enhancing predictive models, including scorecards and other risk-focused approaches.
- Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support.
- Leading research and development activity for new AI-led solutions and product concepts.
- Communicating complex analytical outputs clearly through presentations, written outputs, and stakeholder discussions.
- Collaborating closely with analytics, engineering, and product teams across the organisation.
Your Skills and Experience
- Strong commercial experience in credit risk modelling within a lender, fintech, or credit bureau environment.
- Proven capability in developing predictive models, including scorecards or similar risk models.
- Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems.
- Strong Python and SQL skills for data analysis and model development.
- Experience exploring alternative or innovative AI-driven approaches to solve challenges within lending or collections.
- Confidence working autonomously and contributing at a senior consultant level.
What They Offer
- Salary between £80,000 and £90,000
- A key role within a growing AI lab with strong visibility and long-term progression opportunities.
- Exposure to a wide variety of projects across financial services and other data-intensive sectors.
- A collaborative, inclusive culture with strong retention and long-term career development.
Senior AI Consultant - Credit Risk employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Consultant - Credit Risk
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and credit risk. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects, especially those related to credit risk. Share your work on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for interviews by brushing up on common questions related to AI and credit risk modelling. Practice explaining complex concepts in simple terms, as communication is key in this role. We want to see how you can make your insights accessible to stakeholders!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our innovative AI lab.
We think you need these skills to ace Senior AI Consultant - Credit Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Consultant role. Highlight your experience in credit risk modelling and any hands-on work with AI or machine learning. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in financial services and how you can contribute to our AI lab. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's developing predictive models or applying advanced ML techniques, we love to see real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on the latest AI and machine learning techniques, especially those relevant to credit risk. Be ready to discuss your hands-on experience with LLMs, transformers, and predictive models. This will show that you're not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business problems using AI-driven solutions. Think about specific projects where your contributions made a significant impact, particularly in lending or risk management. This will demonstrate your ability to lead research and development activities effectively.
✨Communicate Clearly
Since you'll be communicating complex analytical outputs, practice explaining your work in simple terms. Use visuals or examples to make your points clearer. This will help you connect with stakeholders who may not have a technical background, showcasing your ability to bridge the gap between data and decision-making.
✨Collaborate and Connect
Highlight your experience working with cross-functional teams, such as analytics, engineering, and product teams. Be prepared to discuss how you’ve fostered collaboration in past roles. This will show that you’re not just a lone wolf but someone who thrives in a team-oriented environment, which is crucial for this role.