Lead Risk Reporting Analyst

Hampshire Trust Bank

Greater London

Hybrid

GBP 65,000 - 90,000

Full time

8 days ago

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Benefits offered by this job

Hybrid working 50/50

Private Medical Insurance (Bupa)

Pension scheme 8% employer contrib.

Cycle to Work & Green Car Schemes

Annual volunteering day

Job summary

Hampshire Trust Bank is seeking a Lead Risk Reporting Analyst for its Credit Risk Analytics team at its London Head Office. The role focuses on delivering high-quality risk reporting, analytics and insights to support key business decisions across the bank.

You'll enhance risk reporting, drive Power BI solutions, support IFRS 9 reporting, and strengthen data quality and governance. Hybrid working 50/50 and a leadership mindset are essential.

Qualifications

Strong experience within Credit Risk Reporting and Analytics.
IFRS 9 reporting and expected credit loss methodologies.
Advanced Power BI skills including data modelling and DAX.
Strong experience using SQL, Python, SAS, R or similar analytical tools.
Experience analysing large datasets and translating findings into business insight.
Experience leading analytical projects or workstreams from design through to implementation.
Proven ability to improve reporting, analytics and data quality processes.
Strong understanding of risk reporting frameworks and controls.

Responsibilities

Lead the development and enhancement of Power BI dashboards and reporting solutions.
Translate business requirements into effective analytical and reporting outcomes.
Analyse large and complex datasets to identify insights and trends.
Improve reporting processes through automation and standardisation.
Ensure reporting is accurate, timely and delivers business value.
Support IFRS 9 reporting activities and ECL analysis.
Contribute to model implementation, monitoring and reporting activities.
Work with Risk, Finance and Model Development teams to support reporting requirements.

Skills

Credit Risk Reporting

IFRS 9 reporting

Power BI

SQL

Python

SAS

Tools

Power BI

SQL

Python

SAS

Job description

Location: London (Head Office)

Hours: Monday to Friday, 9:00am–5:30pm

Working Pattern: Hybrid (50/50)

Reports to: Head of Risk Reporting & Analysis

Department: Risk & Compliance – Credit Risk Analytics

Hampshire Trust Bank is a specialist bank, staffed by experts focused on helping UK businesses realise their ambitions.

We offer niche specialty lines, as an SME bank, targeting under-served segments. Our dedicated Wholesale Finance, Bridging Finance, Development Finance and Specialist Mortgages teams ensure that businesses receive the outstanding service, lasting relationships, integrity, and expertise they need to prosper.

We also provide savings accounts to individuals and businesses and since we lend to SMEs, our savers can be sure their money will help boost the British economy. Our vision is to be the go-to bank in our chosen markets; to deliver positive customer outcomes, rewarding careers and great shareholder value through a high-performing culture grounded in excellence and integrity.

About the Role

We’re looking for a highly motivated Lead Risk Reporting Analyst to join our Credit Risk Analytics team at Hampshire Trust Bank.

This is a fantastic opportunity for an experienced credit risk professional to play a leading role in delivering high-quality risk reporting, analytics and insight that supports key business decisions across the bank.

Combining technical expertise, analytical capability and stakeholder leadership, you’ll be responsible for enhancing risk reporting, driving improvements in Power BI reporting solutions, supporting IFRS 9 reporting activities and strengthening data quality and governance across the organisation.

We're looking for someone who enjoys solving complex problems, takes ownership of delivery and is passionate about driving meaningful improvements rather than simply producing reports.

Key Responsibilities

Analytics & Power BI Delivery

Lead the development and enhancement of Power BI dashboards and reporting solutions
Translate business requirements into effective analytical and reporting outcomes
Analyse large and complex datasets to identify insights and trends
Improve reporting processes through automation and standardisation
Ensure reporting is accurate, timely and delivers business value

Risk Reporting & IFRS 9

Support the delivery and development of IFRS 9 reporting and expected credit loss analysis
Contribute to model implementation, monitoring and reporting activities
Produce and analyse credit risk reporting, identifying emerging risks and opportunities
Work closely with Risk, Finance and Model Development teams to support reporting requirements
Provide meaningful challenge and interpretation of risk data through robust analytical insight

Data Quality & Controls

Identify, investigate and resolve data quality issues
Conduct root cause analysis and implement sustainable solutions
Strengthen data governance, controls and reporting standards
Promote a culture of continuous improvement and data accuracy

Leadership & Stakeholder Management

Act as a senior member of the team, providing guidance and support to analysts
Build strong relationships with stakeholders across Risk, Finance, Data and Technology
Manage competing priorities and drive delivery against deadlines
Take ownership of key processes, reports and analytical frameworks
Influence senior stakeholders and drive positive change across the business

Who You’ll Work With

You’ll Collaborate Closely With

Director of Credit Analytics & Model Governance
Head of Credit Modelling
Head of Model Validation
Chief Risk Officer and wider Risk team
Chief Financial Officer and Finance teams
Executive Committee members and Board sub-committees
Technology and Data teams
Internal and external auditors

What We’re Looking For

Qualifications & Experience

Strong experience within Credit Risk Reporting and Analytics
Practical experience of IFRS 9 reporting and expected credit loss methodologies
Advanced Power BI skills including data modelling and DAX
Strong experience using SQL, Python, SAS, R or similar analytical tools
Experience analysing large datasets and translating findings into business insight
Experience leading analytical projects or workstreams from design through to implementation
Proven ability to improve reporting, analytics and data quality processes
Strong understanding of risk reporting frameworks and controls

Desirable Experience