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Tier-1 bank, mid-level analytics strategy role in metro with broad analytics and finance skills attracts many qualified applicants.
Requires finance, capital markets, and payments expertise, making skills less transferable across non-financial industries.
5+ years, consulting/banking/PE background and mandatory SQL/Python/analytics requirements create strict shortlisting filters.
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Identify and analyze high-impact global banking opportunities across M&A, capital markets, FX, payments, and corporate banking using internal data and external market intelligence.
Develop market sizing, TAM, wallet models, and insights to guide strategic prioritization and banker focus.
Build analytical workflows, dashboards, and frameworks to support decision-making and optimize resource deployment in partnership with senior leaders.
5+ years of experience in management consulting, top-tier banking, or private equity with focus on data-driven strategy and advanced analytics development.
Proficient in data modeling tools such as SQL, Python, Alteryx and visualization tools like Tableau or Qlik.
Bachelor's degree in Computer Science, Statistics, Engineering, or related field; advanced degree (MBA or analytics-focused master's) from a top-tier program.
Experience in financial services with exposure to capital markets, corporate banking, or payments; familiarity with AI/ML techniques including NLP, time series, supervised learning, and LLMs.
Experienced in applying advanced analytics to generate actionable revenue growth strategies in a fast-paced financial services environment.
Demonstrated ability to translate complex data into executive-level insights and influence senior stakeholders across multiple banking and product areas.
Operating style includes leading analytical projects end-to-end, integrating diverse data sources, and partnering cross-functionally to impact strategic agendas.