Quant Analytics, Senior Associate - Home Lending

Next Frontier Capital; Jacksonville (FL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health insurance

On-site wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

Chase is seeking a Quant Analytics, Senior Associate in Home Lending to source, integrate, and analyze data, uncover insights, and drive measurable business value. You will automate dashboards and reporting, explain performance, and partner across teams to support strategic initiatives shaping the future of home lending.

You will collaborate with Sales, Marketing, Product, Finance, and Data & Analytics to deliver data-driven solutions, build AI-enabled capabilities, and communicate actionable

Qualifications

• Bachelor’s degree in a relevant field with 4+ years analytics experience.
• Advanced SQL to query, transform, and validate data.
• Strong Python to automate workflows and reporting.
• Experience defining and tracking KPIs with impact analysis.
• Proven ability to build and maintain interactive dashboards.

Responsibilities

• Collaborate with Sales, Marketing, Product, Finance, and Data & Analytics to align on priorities.
• Integrate data from multiple platforms for reliable performance measurement.
• Perform descriptive, diagnostic, and predictive analyses to uncover trends.
• Develop narratives explaining findings and actions.
• Quantify drivers of performance and recommend actions to improve KPIs.
• Build analytical frameworks supporting strategic initiatives.
• Design and maintain dashboards for KPI tracking and stakeholder reporting.
• Identify opportunities to enhance BI tooling and self-service reporting.
• Translate analyses into actionable recommendations for leaders.
• Collaborate on AI/ML solutions to automate processes.

Skills

SQL

Python

KPI tracking

Dashboarding

Communication

AWS

Snowflake

Generative AI prompting

Education

Bachelor’s degree

Master’s degree (preferred)

Tools

Snowflake

AWS

Job description

Help shape the future of our home lending business by turning data into decisions that create better outcomes for customers and the firm. You’ll take on high-impact, strategic questions, work side-by-side with cross-functional partners, and translate complex analysis into clear, actionable recommendations for leaders. This role is ideal for a critical thinker and strong communicator who thrives in fast-moving environments—bringing structure to ambiguity, adapting quickly as priorities evolve, and driving alignment. You’ll also spot opportunities to modernize how we work by automating insights and innovating with advanced analytics, AI and machine learning.

Job summary

As a Quant Analytics, Senior Associate - Home Lending, you’ll source, integrate, and analyze data to uncover insights that drive measurable business value and improve the overall customer relationship. You’ll combine quantitative analysis with business context to explain performance, identify key drivers, and recommend actions that support growth—including strategies that encourage broader engagement across the firm. You’ll build and automate dashboards and reporting that make performance tracking easier and decision-making faster. You’ll partner across teams to deliver analytics solutions for complex business challenges and support strategic initiatives shaping the future of home lending.

Job responsibilities

• Partner with Sales, Marketing, Product, Finance, and Data & Analytics stakeholders to align on priorities and deliver data-driven solutions.
• Source and integrate data from multiple platforms to enable consistent, reliable performance measurement.
• Perform descriptive, diagnostic, and predictive analyses to identify trends, patterns, and actionable insights.
• Develop clear narratives that explain what happened, why it happened, and what actions to take next.
• Conduct deep-dive analyses to quantify drivers of performance and recommend actions to improve KPIs and relationship value.
• Build analytical frameworks that support complex business priorities and strategic initiatives.
• Design, automate, and maintain interactive dashboards for KPI tracking and stakeholder reporting.
• Identify opportunities to enhance business intelligence tooling and self-service reporting.
• Support strategic initiatives by translating analysis into clear, actionable recommendations for senior stakeholders.
• Collaborate on artificial intelligence and machine learning solutions to automate processes and develop new analytical capabilities.

Required qualifications, capabilities, and skills

• Bachelor’s degree in the fields above plus 4 years of relevant experience in an analytics-focused role (e.g., Data Scientist, Senior Analyst, Senior Engineer, or similar).
• Advanced SQL skills to query, transform, and validate data from multiple sources.
• Strong Python skills to automate workflows, support analytics, and enable repeatable reporting.
• Experience defining, tracking, and evaluating KPIs, including pre- and post-analysis to measure impact.
• Proficiency building and maintaining interactive dashboards and stakeholder-facing reporting.
• Ability to design and build end-to-end analytical tools and solutions.
• Demonstrated critical thinking and structured problem-solving skills for complex, ambiguous business questions.
• Strong collaboration and communication skills, including the ability to synthesize findings into actionable recommendations for senior stakeholders.
• Familiarity with cloud data platforms (e.g., AWS) and modern data warehouses (e.g., Snowflake), plus an understanding of large-scale data architecture.
• Ability to adapt quickly to changing priorities while maintaining high-quality analytical output.
• Successful use of generative AI prompting to accelerate analyses, improve consistency and quality of outputs, and support automation of repeatable workflows.

Preferred qualifications, capabilities, and skills

• Master’s degree in Information Systems, Computer Information Systems, Computer Science, Mathematics, Statistics, Engineering, Operations Research, or related field plus 2 years of relevant experience in an analytics-focused role (e.g., Data Scientist, Senior Analyst, Senior Engineer, or similar).
• Experience supporting analytics in home lending, consumer finance, or a related industry.

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 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.

Use advanced analytics to drive growth by delivering executive-ready insights, dashboards, and AI-enabled automation that improve customer outcomes and relationships.