Business Banking Sales Quant Analytics Manager - VP

JPMorganChase•Columbus, OH

23h

About The Position

As a Quantitative Analytics Manager on the Business Banking Data and Analytics team, you will support sales strategy through analytical exploration, testing and readouts, forecasting, financial assessments, and portfolio performance analysis. You will partner with internal stakeholders to design, implement, and track strategic sales initiatives using data-driven methods. The role balances speed with rigor by validating inputs, identifying anomalies, and improving how results are measured over time. You will define meaningful performance indicators and deliver dashboards that provide transparency into progress. The position focuses on turning complex data into actionable decisions that help sales teams prioritize, execute, and measure results. You will work across data sources to create a reliable view of performance and opportunity, strengthen the rigor and control discipline behind reporting, and communicate insights clearly to business leaders.

Requirements

Doctorate or master's degree in a related field and 5 years of experience, or bachelor's degree and 7 years of experience, in a related discipline such as computer science, operations research, physics, mathematics, engineering, econometrics, or statistics.
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.

Nice To Haves

Hands-on experience designing, building, and operating solutions on cloud data platforms such as Snowflake, Amazon Web Services, or Databricks, or equivalent.
Experience with server-based dynamic and interactive reporting solutions.
Experience with straight-through processing tools such as Alteryx, or equivalent.
Experience with visualization tools such as Tableau, or equivalent.
Exposure to query optimization and performance tuning in analytics workflows.

Responsibilities

Develop insights, methods, and tools from large datasets using advanced analytics, including predictive modeling, clustering, text mining, machine learning, statistical forecasting, simulation, and 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 and advise on experimentation and measurement approaches.
Deliver key performance indicators, trend analysis, dashboards, and segmentation and 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.