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Credit risk analyst / data scientist

London
Jr United Kingdom
Credit risk analyst
Posted: 1 July
Offer description

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Client: Eden Smith Group
Location: Job Category: Other
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EU work permit required: Yes
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Job Views: 5
Posted: 26.06.2025
Expiry Date: 10.08.2025
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Job Description: Are you looking to leave your starter jobs and progress your career in Credit Risk & Data Science? Do you want to work in a fast-paced environment where you can make an immediate impact?
*PLEASE NOTE* - All Candidates MUST be able to commute ON-SITE to Seven Oaks, Kent 3 days per week. Public Transport is limited, so ideally, candidates will hold a full UK driver’s license and own a car.
We are hiring a Credit Risk Analyst / Data Scientist to join a collaborative and innovative team that is shaping the future of credit risk modelling and forecasting. This is a fantastic opportunity to work closely with experienced professionals and gain hands-on experience in predictive modelling, loss forecasting, and machine learning, all within a growing, tech-enabled financial services organisation.
The Role
You will be part of a small, high-impact data science team responsible for:
Developing predictive models such as scorecards and machine learning models for customer acquisitions and collections
Supporting loss forecasting for both new business and the existing portfolio
Exploring new data sources and modelling techniques to improve performance and accuracy
Working with tools like Python, T SQL, and Excel to manage data workflows and build solutions
Collaborating across departments with teams in credit risk, finance, capital markets, and operations
Monitoring model performance and contributing to regular validation and compliance reporting
What you'll need?
A degree or strong mathematical ability in a numerate subject such as Mathematics, Statistics, Data Science, Economics, or Physics
1 to 2 years of experience in a financial data -driven environment or strong academic project experience
Familiarity with modelling techniques like logistic regression or basic machine learning
A keen interest in data science and its applications in finance or risk
Strong attention to detail and a problem-solving mindset
A confident communicator who can explain data insights to both technical and non-technical audiences
A willingness to learn. For example, experience in Python/R, AWS or model deployment would be beneficial, but it is important that you are willing and able to learn these skills.
Why work for us?
Work in a high-growth, data-first business combining fintech agility with financial service rigor
Be part of a collaborative and forward-thinking team where your input matters
Gain exposure to real-world business problems and end-to-end model development
Hybrid working available, with regular team interaction and support
On-site parking and scenic office location in Sevenoaks (a driving license is helpful due to limited public transport)

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