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Vacantes parecidas:

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Credit Risk Analyst / Data Scientist

Sé de los primeros solicitantes.
Eden Smith Group
England
GBP 35.000 - 45.000
Sé de los primeros solicitantes.
Hace 5 días
Descripción del empleo

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 2-3 days per week. Public Transport is limited so IDEALLY candidate will hold a full UK drivers licence and own car. HOWEVER, other arrangements can be made regarding a taxi service from the nearest train station.

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)
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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.

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