Associate, Global Banking Intelligence & Growth Strategy

About the role

This associate position works within the Global Banking Intelligence & Growth Strategy team, partnering directly with senior leaders to shape data‑driven revenue growth across the Commercial & Investment Bank. The role blends internal client data, external market intelligence, and advanced analytics—including AI and large language models—to uncover high‑impact opportunities in M&A, capital markets, FX, payments, and corporate banking.

Key responsibilities

• Identify actionable global banking opportunities such as sell‑side M&A, take‑private situations, and IPO candidates by merging internal client indicators with external deal activity and valuation signals.
• Develop market and product insights from proprietary payment flows, public filings, and external data to surface FX hedging, capital‑markets, and corporate‑finance opportunities.
• Create market‑size, total addressable market (TAM), wallet, and share‑of‑wallet models to guide banker focus and strategic prioritisation.
• Monitor sector and capital‑markets developments, delivering timely insights that influence client engagement and product strategy.
• Design and enhance banker coverage models, prioritisation frameworks, and territory strategies to optimise resource deployment.
• Build analytical workflows, dashboards, and opportunity assessments that support decision‑making at scale.
• Translate complex analytical findings into concise, actionable recommendations for executive audiences.
• Collaborate with leaders across Investment Banking, Corporate Banking, Payments, and Markets to ensure insights drive strategic agendas.

Required profile

• 3+ years of experience at a leading management consulting firm, top‑tier bank, or private‑equity firm focused on data‑driven strategy and advanced analytics.
• Proven expertise in revenue‑driven analytics, market sizing, TAM and wallet modelling, and capital‑markets data analysis.
• Strong analytical and problem‑solving abilities with hands‑on experience handling large datasets, financial statements, and public filings.

Required skills

• AI/LLM tools for insight generation