Strategy & Business Intelligence - Associate/Senior Associate

About this role

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Skills you'll use

What you'll do

• Identify actionable global banking opportunities such as sell-side M&A, take-private situations, and IPO candidates by integrating internal client indicators with external deal activity, valuation signals, and sector dynamics
• Develop market and product insights by analyzing proprietary payment flows, public filings, and external data sources to uncover FX hedging, capital markets, and broader corporate finance opportunities
• Create market sizing, total addressable market (TAM), wallet, and share-of-wallet models to guide banker focus and inform strategic prioritization
• Monitor market, sector, and capital markets developments to generate timely insights that influence client engagement and product strategy
• Design and enhance banker coverage models, prioritization frameworks, and territory strategies to optimize resource deployment and improve revenue productivity
• Design and build analytical workflows, dashboards, and opportunity assessments that support banker decision-making at scale
• Drive complex analytical and strategic problem-solving efforts and translate outputs into concise, actionable recommendations for executive audiences
• Partner with leaders across Investment Banking, Corporate Banking, Payments, and Markets to ensure insights directly inform strategic agendas and client engagement
• Lead initiatives from ideation through execution ensuring analytical rigor, clarity of outcomes, and alignment with business objectives
• Required Qualifications, Capabilities, and Skills

Who can apply

• 5+ years of experience with a leading management consulting firm, top-tier bank, or private equity firm with a focus on data-driven strategy and advanced analytics development
• Demonstrated expertise in revenue-driven analytics, market sizing, TAM and wallet modeling, and capital markets data analysis
• Strong analytical and problem-solving skills, including hands-on experience with large datasets, financial statements, public filings, and AI/LLM tools for insight generation
• Demonstrated experience in building data models (SQL, Python, Alteryx) and visualizations (Tableau, Qlik)
• Exceptional ability to translate complex analyses into clear, executive-level insights and actionable recommendations
• Proven track record of partnering with and influencing senior stakeholders across banking and product organizations
• Experience in financial services with exposure to capital markets, corporate banking, or payments.
• Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)
• Bachelor’s degree in computer science, Statistics, Engineering or related fields
• Advanced degree (MBA or analytics-focused master’s) from a top-tier program.

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