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Regulatory Reporting & Analysis Assistant Manager
Lloyds Banking Group. Perform accurate and timely calculation of Counterparty Credit Risk (CCR), Leverage and Settlement Risk exposures and RWAs – including the effective use of the Moody’s Ray calculator.
Tech Stack
Tools & technologiesETLPythonRaySQL
About the role
Key responsibilities & impact- Perform accurate and timely calculation of Counterparty Credit Risk (CCR), Leverage and Settlement Risk exposures and RWAs – including the effective use of the Moody’s Ray calculator.
- Produce and validate daily Leverage and monthly RWA and Leverage Returns across, derivatives and SFT portfolios.
- Analyse period on period movements, trends, identify anomalies, and provide commentary to team managers.
- Support regulatory and internal reporting requirements.
- Assist managers in the calculation, reporting and analysis of capital to support New Products and Strategic Transactions.
- Maintain effective control frameworks to ensure robust outputs.
- Build and maintain SQL/Python scripts for data extraction, transformation, and analysis to drive and support Finance data transformation.
- Build and enhance Power BI dashboards to deliver intuitive and interactive MI to internal customers.
- Utilise Power Apps to improve MI, Checks and Analysis.
- Collaborate with IT specialists and our core analysis team and our Data leads to improve data quality and ensure data integrity.
- Find opportunities for automation and process improvement across reporting workflows.
- Work closely with Risk, Finance, and business teams to understand reporting needs and deliver actionable insights.
- Present findings and recommendations to managers.
Requirements
What you’ll need- Strong finance background and experience required, at least part-qualified and currently studying for exams.
- Minimum 1 year of experience applying and understanding RWA rules and calculations, including interpreting PRA frameworks (such as UK CRR/Basel 3.1, EMIR) across Credit Risk, Securitisations, and Counterparty Credit Risk, or at least 1 year of experience applying statutory accounting standards such as IFRS.
- Background experience in Financial Services or trained with a large accountancy practice is advantageous.
- Data Analytics: Proficient in excel for data manipulation, analysis, and automation.
- Hands-on experience with SQL and/or Python, or a clear enthusiasm for learning and building capability in these tools.
- Visualisation: Power BI skills for dashboard creation and MI delivery.
- Data Management: Experience with SQL, data warehousing, and ETL processes.
Benefits
Comp & perks- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 28 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
ATS Keywords
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Hard Skills & Tools
Counterparty Credit Risk (CCR)Leverage and Settlement RiskRisk-Weighted Assets (RWA)SQLPythonData extractionData transformationPower BIData warehousingETL processes
Soft Skills
Analytical skillsCommunication skillsCollaborationProblem-solvingAttention to detailPresentation skillsProcess improvementTime managementInterpersonal skillsOrganizational skills
Certifications
Part-qualified finance certificationPRA frameworks knowledgeIFRS knowledge