Credit Risk Modeller - High-Impact 6-Month Contract in Slough

Credit Risk Modeller - High-Impact 6-Month Contract in Slough

Slough Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Adecco

At a Glance

  • Tasks: Build credit risk models and prepare data using Python and SQL.
  • Company: Join a dynamic team at Adecco, leading in credit risk modelling.
  • Benefits: Gain valuable experience on a high-impact project with flexible work arrangements.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Make a real difference in financial risk management while developing your skills.
  • Qualifications: Experience in Python, SQL, and credit risk modelling is essential.

The predicted salary is between 63000 - 77000 Β£ per year.

Adecco is seeking a Credit Risk Modeller for a 6-month contract across Slough, Manchester, or Hertfordshire with on-site presence two days a week.

You will build PD, default and behavioural scorecards, and prepare data using Python and SQL.

You will work with Trans Union and Equifax data, conduct back-testing and governance-ready documentation, and contribute to model validation and monitoring.

This role offers an exciting transformation project within a collaborative team.

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Credit Risk Modeller - High-Impact 6-Month Contract in Slough employer: Adecco

Adecco is an excellent employer, offering a supportive work culture that values flexibility and work-life balance, particularly for the Seasonal DBS Cleaner role in Chelmsford. Employees benefit from a competitive pension scheme and various incentives, alongside opportunities for personal growth and development within a dynamic team environment, making it a rewarding place to contribute to the cleanliness of educational settings.

Adecco

Contact Details:

Adecco Recruitment Team

We think you need these skills to ace Credit Risk Modeller - High-Impact 6-Month Contract in Slough

Credit Risk Modelling
Python
SQL
Data Preparation
Scorecard Development
Back-Testing
Governance Documentation