Manager - Treasury/P&L Forecasting/Analytics

Manager Treasury P&L Forecasting and Analytics

Job Description:

Our global investment banking client is looking to hire a Treasury Analyst who will be responsible for both project-based and BAU (Business-As-Usual) support across key treasury functions, including Funds Transfer Pricing (FTP), P&L forecasting and simulation, technical tool support, and ad-hoc analysis. This is an excellent opportunity to work in a high-visibility role supporting global treasury desks and driving analytical excellence.

Some of the key responsibilities will include:

- Run day-to-day (BAU) processes for Treasury P&L forecasting and analytics.

- Analyze and decompose Treasury desk P&L, supporting key decision-making.

- Provide analytical walkthroughs, business explanations, and ad-hoc analysis to internal stakeholders and senior business partners.

- Analyze and interpret market risk exposures, including interest rate risk and credit spread risk.

- Present and explain FTP rate analysis across different product segments.

- Support key project deliverables, including the development and enhancement of forecasting models, FTP scenarios, and balance sheet optimization tools.

- Review and validate underlying assumptions used in modelling and scenario simulations.

To be eligible for this role you will require:

- 3-8 years of experience in treasury analytics or reporting within a top-tier global bank or financial institution.

- Strong knowledge of bank balance sheet structure, regulatory liquidity, and key profitability metrics like NIM and GIM.

- Conceptual understanding of bank stress testing frameworks and risk-based capital planning.

- Ability to engage and communicate effectively with senior stakeholders, project teams, and cross-functional business groups.

- Excellent communication skills in English - both written and verbal.

- Bachelor's or Master's degree in finance, Economics, or quantitative discipline, CFA or FRM certifications are highly preferred.

- Working knowledge of SQL and either Python or Excel VBA is essential.

- Experience in developing or automating reporting tools and dashboards is a plus.