Senior Analyst - Risk Modeling (Hybrid)

Lloyds Banking Group; Ledston; Hybride; GBP 53 000 - 59 000; Plein temps

Avantages offerts par ce poste

Pension up to 15%

Annual bonus

Share schemes

Discounted shopping

28 days holiday

Wellbeing & parental leave

Résumé du poste

Lloyds Banking Group is seeking a Senior Analyst in the UK with hybrid working options (Edinburgh or Leeds). The role focuses on advanced analytics, model monitoring and governance, using SQL, SAS and Python to drive insights for Risk.

You’ll collaborate with Risk and Finance partners and mentor junior colleagues. The position requires a numerate/statistical degree and experience in predictive analytics within a regulatory or credit risk context.

Qualifications

• A numerate or statistical degree is preferred.
• Experience delivering predictive analytics in a regulatory or credit risk setting.
• Understanding of statistical modelling and interest in developing models.

Responsabilités

• Build and maintain model monitoring packs for commercial banking customers.
• Use SAS, SQL and Python for data manipulation and analysis.
• Collaborate with Risk and Finance partners to define analytical project objectives and ensure regulatory alignment.
• Mentor junior colleagues and support governance of models.
• Apply Python, GCP and Looker skills to improve monitoring and modelling efficiency.
• Maintain knowledge of CRDIV model maintenance requirements and governance.

Connaissances

SQL

SAS

Python

Data analysis

Stakeholder comms

Formation

Numerate/statistical degree

Outils

Python

SQL

SAS

GCP Looker

Description du poste

Lloyds Banking Group is seeking a Senior Analyst in the UK with hybrid working options (Edinburgh or Leeds). The role focuses on advanced analytics, model monitoring and governance, using SQL, SAS and Python to drive insights for Risk.

You’ll collaborate with Risk and Finance partners and mentor junior colleagues. The position requires a numerate/statistical degree and experience in predictive analytics within a regulatory or credit risk context.