Strategy & Analytics for Business Growth Senior Associate
On-site · New York City, New York, United States
Job Summary
Senior Strategy & Analytics Associate within Global Banking Intelligence & Growth Strategy, focusing on identifying revenue-growth opportunities across M&A, capital markets, FX, payments, and corporate banking using advanced analytics and AI/LLM tools; develop market sizing, TAM, wallet and share-of-wallet models; build dashboards and analytical workflows; partner with senior leaders to translate insights into actionable recommendations for executive audiences and optimize banker coverage and resource deployment.
Required Qualifications
- 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.
- Preferred Qualifications, Capabilities, and Skills:
- 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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