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Senior Associate Quant Analytics

JPMorganChase

JPMorganChase

Data Science
Plano, TX, USA · Jacksonville, FL, USA
Posted on Feb 25, 2026

Are you passionate about transforming data into actionable insights? We’re looking for a Sr Associate Quant Analytics to join our dynamic Home Lending Data & Analytics team, supporting Mortgage Servicing. In this high-impact role, you’ll collaborate with business partners, leverage cutting-edge analytics tools, and help shape the future of home lending.

As a Senior Associate Quant Analytics within the Home Lending Data and Analytics team in support of Mortgage Servicing, you will work on a mix of strategy, business analysis and data science skills with a focus on design, build and implementation of reports and digital dashboards. You will be a strong communicator who is eager to learn, endlessly. Additionally, it would be ideal if you have an in- depth understanding of the mortgage industry.

Job Responsibilities:

  • Gather reporting requirements by working closely with business partners.
  • Provide data in digestible formats to stakeholders via Business Intelligence Dashboards for recurring and ad hoc reporting.
  • Use advanced data discovery and mining tools to uncover relationships, trends, and new behavioral insights.
  • Translate business needs into data solutions aligned with long-term objectives.
  • Deliver insightful analytics to support process improvement and business initiatives.
  • Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources for Home Lending products.
  • Build processes to join datasets without unique keys and evaluate data sources for quality and discrepancies.
  • Critically assess business headwinds and identify opportunities for analytics-driven solutions.
  • Build automated solutions using large language models and Python.
  • Collaborate with team members on projects, share knowledge, and work independently with high accountability.

Required qualifications, capabilities, and skills:

  • Bachelor’s degree in a quantitative or related field
  • 3+ years of data and analytics experience using SQL, or a Master’s in Analytics (or similar)
  • Strong SQL skills and experience with data quality assessment
  • Proficiency with Hadoop, Teradata, Oracle, MS DBs, and Snowflake
  • Experience with reporting and analytics tools (Python, Tableau, SSRS, Alteryx, Toad, SQL Developer, Power BI)
  • Experience developing and deploying AI solutions for business insights and automation
  • Proven ability to design, build, and maintain interactive dashboards for data visualization
  • Strong critical thinking, ability to deliver under tight deadlines, and effective collaboration with business and technology partners
  • The ideal candidate is a critical thinker that will thrive in a fast-paced, competitive environment and will mesh well with a team that prides itself on attention to detail and results

Preferred qualifications, capabilities, and skills:

  • Functional industry experience in operations, marketing, credit/risk, technology, or finance
  • Mortgage experience preferred

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


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.

As a Senior Associate Quant Analytics, you’ll use complex data to deliver creative, actionable solutions for home lending.