Business Banking Sales Quant Analytics Manager - VP

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH seeks a Quantitative Analytics Manager to support sales strategy through analytic exploration, forecasting, and portfolio performance analysis.

You will partner with stakeholders to design and track strategic sales initiatives using data-driven methods, validating inputs and improving how results are measured over time. You’ll deliver dashboards and KPIs, collaborate across business lines, and ensure rigorous reporting and transparency in performance and

Qualifications

• Advanced degree with 5+ years of related experience or 7+ years with a bachelor’s degree.
• Ability to communicate findings clearly and influence stakeholders.
• Experience delivering analytics to management levels.
• Proficiency in data mining and analytical methods.
• Strong SQL skills and relational database knowledge.
• ETL knowledge and data quality focus.

Responsibilities

• Develop insights and tools from large datasets using advanced analytics.
• Integrate data from multiple sources to inform strategies.
• Analyze data to identify improvement opportunities and surface anomalies.
• Strengthen controls to support measurable outcomes.
• Partner with stakeholders to define business drivers and data needs.
• Communicate complex results to diverse audiences.
• Guide experimentation and measurement approaches with business owners.
• Deliver KPIs, trend analyses, dashboards, and segmentation analyses.
• Collaborate across functions to drive analytics and execution.
• Maintain strong internal client relationships with dependable delivery.

Skills

Python

SAS

R

SQL

Data mining

Analytical thinking

Stakeholder communication

Education

Doctorate or Master’s degree in a related field

Bachelor’s degree in a related discipline

Tools

Snowflake

AWS

Databricks

Alteryx

Tableau

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 Managerin theBusiness Banking Data and Analyticsteam, 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 with5 yearsof experience, or Bachelor’s degree with7 yearsof 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 asPython,SAS, orR.
• Proficiency with relational databases and strongSQLskills.
• 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.