
Quant Analytics Sr. Associate - Digital
Columbus, OHFull-timeSeen 3 days agoSeen in employer's feed 3 days ago
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Job overview
The Quantitative Data & Analytics Senior Associate will lead analytics initiatives within JPMorgan Chase’s Consumer and Community Banking Data & Analytics organization. The role partners with stakeholders to turn complex data into actionable insights and scalable, governed solutions. It combines hands-on analytics, automation, and emerging AI capabilities while supporting data quality, controls, and regulatory standards.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Quant Analytics Sr. Associate - Digital
OH, United States
and 1 more
Job Information
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Job Identification 210803108
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Job Category Quant Analytics
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Business Unit Consumer & Community Banking
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Posting Date 10/23/2026, 02:47 PM
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Locations 1111 Polaris Pkwy, Columbus, OH, 43240, US301 N Walnut St, Wilmington, DE, 19801, US
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Job Schedule Full time
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Job Shift Day
Job Description
As a Quantitative Data & Analytics Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will independently lead analytics initiatives that transform complex data into actionable insights and scalable solutions. You will partner with key stakeholders to understand business needs, solve complex analytical problems, and develop governed analytics capabilities that improve decision-making and business outcomes. The role combines hands-on analytics, stakeholder partnership, automation, and emerging AI capabilities to deliver sustainable solutions while maintaining strong data quality, controls, and regulatory standards.
Job Responsibilities:
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Independently lead analytics initiatives and partnerships with key stakeholders and product groups, developing a strong understanding of business drivers, underlying data, and processes.
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Design and deliver governed, scalable, self-service analytics capabilities that enable stakeholders to independently answer recurring business questions and proactively identify trends, exceptions, risks, and business opportunities.
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Apply approved AI, automation, and advanced analytics capabilities to accelerate analysis, automate repeatable activities, and improve decision support.
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Analyze interactions across a variety of channels to understand customer journeys, friction points, and program performance.
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Prepare and deliver executive-ready presentations that communicate actionable insights, key conclusions, and recommendations, and lead regularly scheduled analytics meetings with stakeholders.
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Support and enhance the team's production analytics and reporting environment, including troubleshooting issues, responding to stakeholder questions, and implementing enhancements.
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Ensure compliance with established controls and regulatory requirements across analytics activities.
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Identify and implement opportunities to improve analytics processes, methodologies, and solutions.
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Mentor junior analysts, share analytical expertise, and contribute to knowledge development across the broader team.
Required Qualifications, Skills and Capabilities:
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3+ years of related experience.
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Bachelor's degree in a quantitative or related field required.
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Proficiency in SQL, Python, and data visualization tools.
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Demonstrated ability to independently investigate and solve complex business and data problems, exercise sound analytical judgment, think creatively, and drive quality solutions through implementation.
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Strong project management skills with the ability to manage multiple projects simultaneously.
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Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.
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Strong data management skills, including data quality, validation, and organization.
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Effective written and verbal communication skills.
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Strong interpersonal skills, including adaptability, emotional intelligence, and conflict resolution.
Preferred Qualifications, Skills and Capabilities:
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Experience applying AI-assisted development, automation, or emerging analytics technologies to improve analytical workflows and decision support.
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Knowledge of API integration.
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Experience delivering analytics solutions using Agile methodologies, including Scrum or Kanban.
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Knowledge of financial services, risk, controls, or regulatory environments preferred.
About Us
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
About the Team
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.
How this job compares
Set against the 2,295 open Data Analytics jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- Ohio median$99–195K/yr69 salary ranges
- US median$24–31/hr183 hourly ranges
- Openings
- Olive Jobs lists 126 open Data Analytics jobs in Ohio and 2,295 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most in Ohio
- JPMorgan Chase (this employer)30 open
- Deloitte12 open
- PwC9 open
- Experience
- This posting asks for at least 3 years of experience — less than three in four Data Analytics postings that state a minimum ask for (median 5 years, across 1,769 postings).
- Education
- This posting asks for a bachelor's degree; 1,129 of the 2,295 open Data Analytics jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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