Credit Risk Analyst / Data Scientist

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 candidate will hold a full UK drivers licence and own car.

We are hiring aCredit Risk Analyst / Data Scientistto 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 modelssuch as scorecards and machine learning models for customer acquisitions and collections
• Supporting loss forecastingfor both new business and the existing portfolio
• Exploring new data sourcesand modelling techniques to improve performance and accuracy
• Working with tools like Python, T SQL, and Excelto manage data workflows and build solutions
• Collaborating across departmentswith teams in credit risk, finance, capital markets, and operations
• Monitoring model performanceand contributing to regular validation and compliance reporting

What you'll need?

• A degree, orstrong mathematical ability, in a numerate subject such as Mathematics, Statistics, Data Science, Economics, or Physics
• 1 to 2 years of experience in aFinancial datadriven environment, or strong academic project experience
• Familiarity withmodelling techniqueslike 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 inPython/R, AWSor model deployment would be great, but it is important that you could learn this

Why work for us?

• Work in a high growth, data first business combining fintech agility with financial service rigour
• 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 licence is helpful due to limited public transport)