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Strategy & Analytics Business Growth Associate
Job in
New York City, Richmond County, New York, USA
Listed on 2026-01-30
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-01-30
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Scientist -
Finance & Banking
Data Scientist
Job Description & How to Apply Below
:
Category:
Strategy
Job Schedule:
Full time
Posted Date: T14:20:17+00:00
Job Shift:
Base Pay/Salary:
New York,NY $-$
As an Associate on the Global Banking Intelligence & Growth Strategy team, you will play a critical role in advancing revenue growth across the Commercial & Investment Bank. This team operates in a fast-paced, insight-driven environment, combining internal data, external market intelligence, and advanced analytical techniques-including AI and large language models-to identify high-impact opportunities across M&A, capital markets, FX, payments, and corporate banking.
You will partner directly with senior business leaders to shape strategic priorities and enable more targeted, data-driven revenue growth strategies.
Job Responsibilities
* 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
* 3+ 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.
Position Requirements
10+ Years
work experience
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