Hybrid Credit Risk Analyst — ML & Decision Modeling

Description This

Swindon

Hybrid

GBP 35.000 - 55.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Private medical insurance
Pension plan
Performance-related bonus
Training and development
Salary sacrifice scheme
Life assurance
Wellhub health & wellness

Zusammenfassung

Nationwide is seeking a Risk Analyst to support Credit Risk decision models across Application, Behavioural and Collections cycles. You will develop and maintain models, applying regression and machine learning techniques, with guidance from a Risk Manager.

The role supports a high-performance hybrid team, working from home and in person across the UK. You’ll spend at least two days per week at the Swindon office (or 40% time if part-time) and contribute to improving decision tools to benefit

Qualifikationen

  • Strong quantitative degree in Mathematics, Statistics or related subject.
  • Experience with data analysis, advanced analytics and modelling.
  • Experience presenting findings and communicating with stakeholders.
  • Aptitude for programming with SAS, R or Python; training provided.

Aufgaben

  • Write and run code in SAS to produce data insights and monitor model performance.
  • Support development, maintenance and monitoring of Credit Risk decision models.
  • Collaborate with team to present insights and ensure models are used to benefit customers.

Kenntnisse

Quantitative degree
SAS
R
Python
Data analysis

Ausbildung

Strong quantitative degree in Mathematics/Statistics or related

Tools

SAS
R
Python

Jobbeschreibung

Nationwide is seeking a Risk Analyst to support Credit Risk decision models across Application, Behavioural and Collections cycles. You will develop and maintain models, applying regression and machine learning techniques, with guidance from a Risk Manager.

The role supports a high-performance hybrid team, working from home and in person across the UK. You’ll spend at least two days per week at the Swindon office (or 40% time if part-time) and contribute to improving decision tools to benefit

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