Senior Manager, Portfolio Insights & Analytics

About the role

The Senior Manager, Portfolio Insights & Analytics sits in the Provisioning & Portfolio Insights team within Business Banking Risk Management. The team combines data, analytics and risk expertise to turn complex portfolio data and external signals into actionable intelligence on the credit health of Business Banking portfolios. As Senior Manager, you will lead complex portfolio investigations, build dashboards and reports used by senior executives and risk forums, and provide analytical and technical leadership across the team.

Key responsibilities

• Analyse the Business Banking credit portfolio to identify trends, anomalies, concentrations and emerging risk signals, and their underlying drivers.
• Investigate emerging risk signals in depth, testing hypotheses and determining where further investigation or action is needed.
• Connect portfolio insights with industry, economic, socio-economic and geopolitical context.
• Develop comprehensive portfolio intelligence and SME reporting for senior leaders.
• Build intuitive dashboards and visualisations of real-time metrics and risk insights.
• Translate analysis into clear recommendations and executive-level narratives, contributing papers to senior risk forums.
• Provide analytical and technical leadership, shaping approaches, challenging methodologies and coaching managers and analysts.

Required profile

• Experience in advanced analytics, portfolio insights, commercial credit risk, econometrics, business strategy or another relevant quantitative discipline, with a track record of using data to inform complex business decisions.
• Experience developing robust reporting for senior executive audiences, with strong critical thinking and evidence-based reasoning.
• Ability to connect portfolio data with the wider commercial, economic and industry environment.
• Strong written and verbal communication, able to explain complex analysis to technical and non-technical audiences.
• Experience leading complex analytical work, conducting peer reviews and developing the capability of others.
• Tertiary education in Economics, Econometrics, Applied Mathematics, Statistics or another quantitative discipline is highly regarded.
• Experience in Business Banking, Commercial Banking, Institutional Banking or portfolio credit risk is particularly valuable.

Required skills

• R, Python, SQL, R Shiny, Tableau, Power BI or large-scale enterprise data platforms are valued.