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- Tasks: Build AI products that influence lending and credit decisions using cutting-edge technology.
- Company: Global credit analytics business expanding its AI capabilities.
- Benefits: Up to £90,000 salary, 10% bonus, hybrid working model.
- Other info: Collaborative environment with access to large-scale financial datasets.
- Why this job: Shape the future of finance with AI and make a real impact.
- Qualifications: Experience in machine learning models and credit risk.
The predicted salary is between 90000 - 90000 £ per year.
Do you want to build AI products that directly influence lending and credit decisions? Have you built machine learning models in credit risk and want broader ownership? Are you ready to apply LLMs in real commercial financial products? A global credit analytics business is expanding its AI capability across both internal operations and client-facing products. The team sits at the intersection of data science, credit intelligence, and applied AI, building solutions that support better lending, pricing, and decisioning outcomes. With access to large-scale financial datasets and enterprise-grade cloud tooling, this is a strong environment for someone wanting commercial AI ownership.
This role is for an AI Consultant operating across credit risk modelling and applied AI solution development. You will build models, develop AI-powered tooling, and work directly with financial services clients to shape and deliver commercial solutions.
Key Responsibilities- Build and optimise credit risk models across lending use cases
- Develop AI-powered internal tools including copilots and automation workflows
- Design and deploy solutions using LLMs and modern AI tooling
- Partner directly with enterprise clients on pricing and decisioning products
- Research and test alternative modelling techniques for credit analytics
- Work closely with analytics and product teams to validate commercial opportunities
- Present findings and technical solutions to stakeholders and clients
- Salary: Up to £90,000 base
- Bonus: 10% average annual bonus
- Working model: Hybrid, 3 days onsite in London (non-negotiable)
- Tech stack: Python, SQL, GCP, Vertex AI, Gemini, LLMs
- Sponsorship: This role cannot sponsor
Interested? Please apply below.
Applied Scientist - AI, Credit Risk employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist - AI, Credit Risk
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in credit risk and AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and AI projects. This is your chance to demonstrate your expertise in credit risk modelling and applied AI solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you’ve used LLMs and other AI tools in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Applied Scientist - AI, Credit Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models in credit risk. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about building AI products in the credit space. Let us know how your background makes you a perfect fit for this role.
Showcase Your Technical Skills: Since we’re all about Python, SQL, and LLMs, make sure to mention your proficiency with these tools. If you’ve worked with GCP or Vertex AI, give us the details – we love seeing hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, especially in the context of credit risk. Be ready to discuss specific machine learning models you've built and how they apply to lending decisions. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous projects. Think of examples where you optimised credit risk models or developed AI-powered tools. Highlight your thought process and the impact of your solutions on decision-making outcomes.
✨Familiarise Yourself with the Tech Stack
Since the role involves Python, SQL, GCP, and LLMs, make sure you're comfortable discussing these technologies. If you’ve used them in past projects, be ready to share specific examples. This will demonstrate your technical fit for the role.
✨Engage with Stakeholders
Be prepared to discuss how you would present findings and technical solutions to clients and stakeholders. Think about how you can communicate complex ideas simply and effectively, as this is crucial in a client-facing role.