Data Scientist Director – Business Banking Client Analytics at JPMC Candidate Experience page

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Sep, 26

Salary

285000.0

Posted On

28 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science Leadership, Customer Segmentation, Causal Inference, Competitive Intelligence, Stakeholder Management, Python, R, SQL, Machine Learning, Predictive Modeling, Natural Language Processing, Snowflake, Databricks, Strategic Planning, Quantitative Research, Experimentation Frameworks

Industry

Financial Services

Description

Bring your expertise to JPMorganChase and help shape how we serve small business clients through data-driven strategy. You will lead a high-performing organization and turn advanced analytics into measurable business outcomes, influencing senior leaders and accelerating innovation. As a Data Scientist Director at JPMorganChase within the Business Banking Client Analytics team, you will set the analytics vision and lead end-to-end delivery of solutions that support business growth, customer engagement, and market expansion. You will synthesize internal and external data to clarify the competitive landscape and inform executive decision-making. You will also develop and inspire leaders across data science and analytics, building an inclusive culture that values intellectual rigor, continuous improvement, and practical impact. Job responsibilities * Lead and develop a team of analytics leaders, data scientists, and analysts delivering advanced analytics and strategic insights for business banking strategy * Define and execute customer segmentation and targeting frameworks to identify and size growth opportunities * Build measurement and experimentation capabilities, including test-and-learn and causal approaches, to quantify impact and optimize outcomes * Translate client, product, and transaction data into actionable insights that inform marketing, product, and servicing strategies * Develop competitive intelligence analytics that monitor market trends, competitor positioning, and relevant industry benchmarks * Synthesize internal and external data sources (including vendor partnerships) to provide senior leaders a clear view of the competitive landscape * Partner closely with Strategy, Finance, Risk Management, Compliance, Internal Audit, Investor Relations, and Data Governance to ensure analytic integrity and effective controls * Establish clear goals and performance expectations; coach, mentor, and support career development across all levels of the team * Attract, hire, onboard, and retain top analytics talent while strengthening skills through ongoing development programs * Champion innovation, continuous improvement, and adoption of analytics solutions across the broader organization Required qualifications, capabilities, and skills * Master’s degree or PhD in Statistics, Data Science, Computer Science, Operations Research, Applied Mathematics, Economics, or a related quantitative discipline * 10+ years of relevant experience in analytics, data science, or applied quantitative research in financial services * 5+ years of applied quantitative research or model development experience supporting business banking or commercial financial institutions * Demonstrated experience leading and managing teams of data scientists, analytics professionals, or technical experts * Proven ability to deliver analytics-driven recommendations to business stakeholders in a consulting or advisory capacity (internal or external) * Strong communication and storytelling skills, including translating complex technical concepts into clear strategies and influencing senior stakeholders * Strong analytical and problem-solving skills, with the ability to frame ambiguous business problems into structured analytic approaches * Strong risk and control mindset, including sound judgment, attention to data integrity, and appropriate issue escalation Preferred qualifications, capabilities, and skills * Experience in retail banking, small business banking, or commercial banking * Experience enabling analytics adoption through change management, self-service analytics, or organizational enablement * Experience using modern artificial intelligence tools and platforms (for example, Microsoft Copilot or similar technologies) * Proficiency in Python, R, and SQL, plus experience with modern data platforms (for example, Snowflake or Databricks) * Deep knowledge of machine learning and advanced analytics methods, including supervised and unsupervised learning, predictive modeling, natural language processing, and experimentation frameworks Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Responsibilities

Lead a team of data scientists and analysts to deliver advanced analytics and strategic insights for business banking growth. Set the analytics vision and translate complex data into actionable strategies for senior executive decision-making.