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CIB Marketing Data Science Associate, Global Banking
Are you motivated by the opportunity to translate complex marketing investments into measurable commercial impact for one of the world’s leading Global Banking franchises? Join our AIM team as a Data Science Associate, where you will be the senior analytics partner to Global Banking Marketing leadership, advancing the Measure What Matters (MWM) framework and delivering high-impact, decision-grade analytics.
In this highly visible role, you will influence executive decision-making, shape marketing measurement strategy, and partner closely with senior marketers, finance, and business stakeholders. You will combine rigorous data science with clear storytelling to quantify marketing’s contribution to pipeline, revenue, and long-term brand value across Global Banking segments and products.
Key Responsibilities:
Develop analytical valuation models that quantify the long-term commercial impact of marketing investments, incorporating brand measurement inputs and business growth drivers.
Apply attribution, causal inference, and experimental design techniques to assess how marketing influences client engagement, pipeline progression, and revenue outcomes.
Design forecasting and scenario models that support target setting, investment planning, and business case development for Global Banking marketing initiatives.
Deliver executive-ready analyses, presentations, and scorecards that translate complex statistical findings into clear, actionable insights for senior marketing and business stakeholders.
Serve as the senior analytics advisor to Global Banking Marketing, shaping measurement approaches, prioritizing analytics initiatives, and guiding data-driven decision-making across programs.
Advance AIM capabilities in areas such as marketing mix modeling, multi-touch attribution, AI/ML-driven insights, and integrated ROI frameworks aligned to enterprise measurement standards.
Required Qualifications, Capabilities, and Skills:
Exposure to brand measurement, long-term marketing impact modeling, or valuation analytics.
Preferred Qualifications, Capabilities, and Skills:
Experience with attribution modeling, causal inference, marketing mix modeling, or ROI frameworks.
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 for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.