Business Banking Sales Quant Analytics Senior Associate

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Use your quantitative skills to shape sales strategy and measurable outcomes through data-driven insights. In this role, you will partner closely with business stakeholders to design, execute, and track strategic initiatives - turning complex analysis into clear decisions. You will deliver diagnostic deep dives, forecasting, and performance reporting that leaders can act on, while maintaining a strong focus on sound controls and data quality. If you enjoy working collaboratively, communicating clearly, and solving ambiguous problems with rigor, this role offers meaningful impact and growth.

Job summary 

As a Quantitative Analytics Senior Associate in the Business Banking Data and Analytics team, you will support the sales strategy organization through analytical exploration, outcome reporting, test design and readouts, financial assessments, forecasting, and portfolio performance analysis, with an emphasis on control execution and monitoring. You will work directly with internal clients to design, develop, implement, and track strategic sales initiatives from a data and analytics perspective. You will communicate insights clearly and help stakeholders translate findings into practical actions. You will bring strong problem-solving skills, technical depth, and a collaborative working style.

You will work across datasets and systems to build a reliable view of performance and opportunity, and you will help improve how results are measured over time. Your analyses will balance speed with rigor, including validation of inputs and identification of anomalies that could affect business decisions. You will help define meaningful key 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, 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.
• Improve and assess processes and controls that support consistent, measurable business results.
• Partner with stakeholders by building understanding of business drivers and underlying data.
• Communicate complex analytical results clearly to varied audiences.
• Collaborate with business owners to define quantifiable goals; advise on strategies and experimentation to achieve business goals.
• Execute key performance indicators, trend analysis, dashboards, and analyses including segmentation 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 3 years of experience, or Bachelor's degree with 5 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 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 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.