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 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 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)