
Business Banking Sales Quant Analytics Manager - VP
Columbus, OHFull-timeSeen 1w agoSeen in employer's feed 3 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Columbus, OH, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
The Business Banking Data and Analytics team supports sales strategy through analytical exploration, testing, forecasting, financial assessments, and portfolio performance analysis. The Quantitative Analytics Manager partners with stakeholders to design and track sales initiatives, validate data, define performance indicators, and deliver dashboards and insights. The role combines analytical rigor with business partnership to help leaders understand performance and opportunity.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Business Banking Sales Quant Analytics Manager - VP
Columbus, OH, United States
Job Information
-
Job Identification 210802283
-
Job Category Quant Analytics
-
Business Unit Consumer & Community Banking
-
Posting Date 10/22/2026, 07:56 PM
-
Locations 1111 Polaris Pkwy, Columbus, OH, 43240, US
-
Job Schedule Full time
Job Description
Help turn complex data into decisions that improve how sales teams prioritize, execute, and measure results. In this role, you’ll pair analytical depth with practical business partnership to deliver insights leaders can act on. You’ll work across data sources to build a reliable view of performance and opportunity, while strengthening the rigor and control discipline behind reporting. If you enjoy solving ambiguous problems and communicating clearly, this role offers meaningful impact and room to grow.
Job Summary
As a Quantitative Analytics Manager in the Business Banking Data and Analytics team, you’ll support sales strategy through analytical exploration, testing and readouts, forecasting, financial assessments, and portfolio performance analysis. You’ll partner directly with internal stakeholders to design, implement, and track strategic sales initiatives using data-driven methods. You’ll balance speed with rigor by validating inputs, identifying anomalies, and improving how results are measured over time. You’ll define meaningful performance indicators and deliver dashboards that provide transparency into progress.
Job Responsibilities
-
Develop insights, methods, and tools from large datasets using advanced analytics (predictive modeling, clustering, text mining, machine learning, statistical forecasting, simulation, visualization).
-
Integrate data from multiple sources and databases to form conclusions and inform strategies.
-
Analyze data to identify improvement opportunities, validate inputs, detect defects, and surface anomalies tied to business processes.
-
Strengthen processes and controls that support consistent, measurable business outcomes.
-
Partner with stakeholders to build shared understanding of business drivers and underlying data.
-
Communicate complex analytical results clearly to a range of audiences.
-
Collaborate with business owners to define quantifiable goals; advise on experimentation and measurement approaches.
-
Deliver key performance indicators, trend analysis, dashboards, and segmentation/optimization analyses to improve performance.
-
Collaborate across functions and lines of business to drive analytics, insights, and execution.
-
Build and maintain strong internal client relationships through proactive communication and dependable delivery.
Required Qualifications, Capabilities, and Skills
-
Doctorate or Master’s degree in a related field with 5 years of experience, or Bachelor’s degree with 7 years of experience in a related discipline (e.g., computer science, operations research, physics, mathematics, engineering, econometrics, statistics, or similar).
-
Demonstrated ability to communicate analytical findings clearly and influence business stakeholders.
-
Experience delivering analytics and insights to multiple levels of management.
-
Proficiency in standard data mining and analytical methods.
-
Proficiency in data analysis languages such as Python , SAS , or R .
-
Proficiency with relational databases and strong SQL skills.
-
Strong analytical, interpretive, and problem-solving skills with attention to data quality and reliability.
-
Technical understanding of data extraction, transformation, and load (ETL) processing.
-
Ability to manage multiple priorities, deliver in a fast-paced environment, and work effectively with cross-functional partners.
Preferred Qualifications, Capabilities, and Skills
-
Hands-on experience designing, building, and operating solutions on cloud data platforms (e.g., Snowflake, Amazon Web Services, Databricks) or equivalent.
-
Experience with server-based dynamic and interactive reporting solutions.
-
Experience with straight-through processing tools (e.g., Alteryx) or equivalent.
-
Experience with visualization tools (e.g., Tableau) or equivalent.
-
Exposure to query optimization and performance tuning in analytics workflows.
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 2,471 open Data Analytics jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This postingNot listed
- Ohio median$104–195K/yr68 salary ranges
- US median$23–31/hr191 hourly ranges
- Openings
- Olive Jobs lists 125 open Data Analytics jobs in Ohio and 2,471 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Ohio
- JPMorgan Chase (this employer)28 open
- Deloitte13 open
- PNC11 open
- Experience
- This posting asks for at least 5 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,933 postings).
- Education
- 1,187 of the 2,471 open Data Analytics jobs (48%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 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.
Prepare for this role
You've read the whole posting — now see how you match it.


