Analyst

Lloyds Banking Group

. Deliver and maintain model monitoring across the Corporate and Commercial landscape .

Posted 11/2/2026full-timeEdinburgh • United KingdomMid-LevelSenior💰 £36,224 - £38,130 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modelling and data analysis, utilizing SAS, Python, and SQL to derive insights that influence business decisions. Strong analytical skills combined with effective communication and collaboration abilities enhance team development and support risk decision-making.

Highest-signal resume keywords

Statistical ModellingSASPythonSQLAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical Modelling TechniquesPredictive Model Performance AnalysisData ManipulationCredit-Risk ModellingLarge Dataset Analysis

Soft Skills

Effective CommunicationTime ManagementProactive DevelopmentCollaborationCreative Problem-Solving

Industry Keywords

Risk AnalyticsCustomer Behaviour AnalysisCredit PerformanceModel MonitoringBusiness Decision Influence

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Deliver and maintain model monitoring across the Corporate and Commercial landscape
Support all stages of model development and maintenance
Translate regulations into analytical problem statements
Experiment with approaches and build appropriate modelling solutions
Deliver statistical modelling solutions supporting Risk decision-making
Use SAS, Python and SQL to manipulate large datasets
Build, validate and analyse predictive model performance
Follow established methodologies accurately and with attention to detail
Analyse customer behaviour and credit performance
Translate analysis into clear insights influencing business decisions
Build relationships with business partners to understand requirements
Develop effective modelling and analytical solutions
Share knowledge and participate in initiatives supporting team development and culture

Requirements

What you’ll need

A good degree in a numerate subject
Confidence working with numbers
Ability to use SAS, SQL or Python to manipulate data
Strong analytical and problem-solving skills
Ability to work creatively with data and draw out insights
Effective written and verbal communication skills
Ability to explain findings clearly and influence business decisions
Strong organisation and time-management skills
Proactive approach to own development
Willingness to collaborate and contribute positively to the wider team
Practical experience of statistical credit-risk modelling techniques and methods would be useful
Experience working with large datasets would be useful
Exposure to building, validating or analysing predictive models would be useful
Understanding of customer behaviour, credit performance or risk analytics would be useful

Benefits

Comp & perks

Flexible working options, including hybrid working and job share
Pension contribution of up to 15%
Annual performance-related bonus
Share schemes including free shares
Lifestyle benefits such as discounted shopping
24 days’ holiday, plus bank holidays
Wellbeing initiatives
Generous parental leave policies
Reasonable adjustments to recruitment processes
Learning, growth and development opportunities