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For Companies At a Glance
- Tasks: Design and build AI models for credit risk and lending strategies.
- Company: Join a leading data analytics firm with a focus on AI innovation.
- Benefits: Competitive salary, career progression, and a collaborative culture.
- Other info: Be part of a growing AI lab with diverse project exposure.
- Why this job: Make a real impact in the AI space while working on exciting projects.
- 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.
- 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 in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Consultant - Credit Risk in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI or credit risk. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your AI projects or predictive models. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on how your skills in Python, SQL, and AI can solve real-world problems in lending. Confidence is key, so rehearse until you feel ready to shine!
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of a collaborative culture that values innovation and growth!
We think you need these skills to ace Senior AI Consultant - Credit Risk in London
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 how you've applied LLMs or predictive models in past roles, as this will show your hands-on experience.
✨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 real impact, and be ready to explain your thought process during the interview.
✨Communicate Clearly
Since you'll need to present complex analytical outputs, practice explaining your work in simple terms. Use visuals or examples to help convey your points, and be prepared for questions that test your ability to communicate with non-technical stakeholders.
✨Collaborate and Connect
Highlight your experience working with cross-functional teams. Discuss how you've collaborated with analytics, engineering, and product teams in the past, as this role requires strong teamwork skills. Show that you're not just a lone wolf but someone who thrives in a collaborative environment.