Credit Risk Strategy Senior Analyst (Hybrid London)

Campion Pickworth; Greater London; Híbrido; GBP 70 000 - 95 000; Tempo integral

Resumo da oferta

A major financial services firm in Greater London is seeking a Senior Analyst for their Credit Risk Strategy team. This role focuses on enhancing credit risk strategies across multiple products and brands, with responsibilities including portfolio optimization, strategic change implementation, and insights delivery. The ideal candidate should have strong analytical skills, proficiency in Python or SAS, and experience in a regulated financial environment. The position offers a hybrid work model and a dynamic team environment.

Qualificações

• Experience working with databases and using Python or SAS for data analysis.
• Strong Excel skills including pivot tables and conditional formatting.
• Ability to identify key numerical concepts related to consumer lending.
• Advanced mathematical and statistical skills.
• Good knowledge of non-linear risk models.
• Experience in delivering analytical insights from big data.
• Relevant experience within a regulated financial services organization.

Responsabilidades

• Optimise portfolio strategies and customer treatment to improve risk profile.
• Implement strategic changes by collaborating with management teams.
• Deliver monthly portfolio and strategy monitoring with insights.
• Ensure controls in existing strategies and processes are effective.

Conhecimentos

Database analysis

Python

SAS

Excel

Numerical concepts

Mathematical skills

Statistical skills

Non-linear risk models

Analytical insights from big data

Descrição da oferta de emprego

A major financial services firm in Greater London is seeking a Senior Analyst for their Credit Risk Strategy team. This role focuses on enhancing credit risk strategies across multiple products and brands, with responsibilities including portfolio optimization, strategic change implementation, and insights delivery. The ideal candidate should have strong analytical skills, proficiency in Python or SAS, and experience in a regulated financial environment. The position offers a hybrid work model and a dynamic team environment.