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Risk Analytics - Statistical Model Development

On-site Full-time

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Experience Level

Experience

Qualifications

To thrive in this role, candidates should possess strong analytical skills and a solid foundation in statistical modeling. Familiarity with credit risk modeling and experience in quantitative analysis are essential. Proficiency in programming languages such as Python or R is highly desirable, along with a degree in a relevant field such as Mathematics, Statistics, or Finance.

About the job

Since our inception in 2015, OakNorth has empowered entrepreneurs by providing over £21 billion in funding, leading to the creation of more than 56,000 jobs and 34,000 homes across the UK and US. Our commitment to supporting pioneering businesses continues, underpinned by our robust analytics capabilities that help us safeguard our digital assets and customer data.
 
This is a remarkable opportunity to become part of a dynamic and expanding bank known for its innovative approach. We seek self-motivated individuals with bold ideas who wish to carve their own career paths, rather than merely filling a role.

As a vital member of the Risk Analytics team, you will play a key role in the development, validation, and monitoring of credit risk models, including PD, LGD, EAD, ECL, and ICAAP models. Your expertise will help address complex business challenges through quantitative analysis, as well as contribute to provisioning and stress testing exercises for the bank.

About OakNorth Bank

At OakNorth, we are dedicated to transforming the banking experience for businesses. Our mission is to support growth by providing tailored financial solutions, and our innovative use of technology sets us apart in the industry.

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