Business Banking Sales Quant Analytics Manager

Job Description

Bring your analytical and technical depth to a role where your work directly shapes sales strategy and portfolio performance. Job Template - shortened - 12-05-24 - PDF.pdf You will partner closely with business leaders to design, execute, and measure strategic initiatives—turning data into clear decisions and measurable outcomes. If you enjoy solving ambiguous problems, influencing stakeholders through insights, and delivering high-impact reporting and experimentation, this role offers the opportunity to grow your leadership while raising the bar on analytical excellence and control discipline.

Job summary 

As a Quantitative Analytics Manager in the Business Banking Data and Analytics team, you will support the sales strategy organization through analytical exploration, reporting on outcomes, forecasting, and portfolio performance analysis, with an emphasis on control execution and monitoring. You will lead day-to-day partnerships with internal clients to design, develop, implement, and track stategic sales initiatives from a data and analytics perspective. You will translate complex analytical findings into clear, actionable recommendations for senior stakeholders. You will operate with strong ownership, resourcefulness, and a collaborative approach across partners.

In this role, you will blend deep quantitative methods with practical business judgment—balancing speed, rigor, and data quality to deliver insights leaders can trust. You will help shape how measurement is defined, how tests are designed and interpreted, and how performance is monitored over time. Your work will span diagnostic deep dives, tactical analyses, and longer-term strategic problem-solving, grounded in strong governance and controls.

Job responsibilities 

• Develop insights, methods, and tools from large datasets using advanced analytics (predictive modeling, clustering, text mining, machine learning, statistical forecasting, simulation, and visualization).
• Integrate data from multiple sources and disparate databases to form conclusions and inform strategies.
• Analyze data to identify improvement opportunities, validate inputs, detect defects, and surface statistical anomalies tied to business processes.
• Strengthen and assess processes and controls that support consistent, measurable business results.
• Lead partnerships with stakeholders by building strong understanding of business drivers and underlying data.
• Translate complex analytical results into clear narratives and recommendations for business leaders.
• Partner with business owners to define quantifiable goals; advise on strategies and experimentation to achieve them.
• Lead execution of key performance indicators, trend analysis, dashboards, segmentations, and optimization to improve business 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 (for example: computer science, operations research, physics, mathematics, engineering, econometrics, statistics, or similar).
• Demonstrated ability to communicate analytical findings clearly and influence senior business leaders.
• Experience delivering analytics and insights to multiple levels of management.
• Proficiency in standard data mining and analytical methods (for example: modeling, segmentation, forecasting, and experimentation).
• 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 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 (for example: Snowflake, Amazon Web Services, or Databricks) or equivalent.
• Experience with server-based dynamic and interactive reporting solutions.
• Experience with straight-through processing tools (for example: Alteryx) or equivalent.
• Experience with visualization tools (for example: Tableau) or equivalent.
• Exposure to query optimization and performance tuning in analytic 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 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.