Home Lending Modeling & Strategic Forecast - Senior Associate

Next Frontier Capital; Columbus (OH); On-site; USD 110,000 - 140,000; Full time

Job summary

Chase is seeking a Senior Associate in Home Lending Planning & Analysis to lead development of advanced forecasting models that drive strategic decisions and regulatory compliance. You will collaborate with Home Lending leadership, business finance, technology, and risk teams to deliver high-quality analytics and support regulatory submissions.

The role emphasizes quantitative modeling, data-driven insights, and cross-functional collaboration, with opportunities for professional growth within

Qualifications

• Master’s degree in Finance, Economics, Analytics, or related quantitative field.
• 5+ years of experience in finance, analytics, risk, or financial planning & analysis roles.
• Advanced quantitative, analytical, problem-solving skills with econometric and ML familiarity.

Responsibilities

• Develop, refine, and maintain quantitative models (time series, econometric, ML).
• Lead model enhancements and evaluate look-back time frames and methodologies.
• Prepare model documentation for regulatory submissions and senior management reports.

Skills

Python

SQL

MS Office

Essbase

Tableau

Alteryx

Databricks

Econometrics

Time series

Machine learning

Communication

Education

Master's degree in Finance/Analytics

PhD preferred

Tools

Essbase

Tableau

Alteryx

Databricks

Job description

Join our team to lead the development and enhancement of advanced forecasting models for Home Lending Finance, driving strategic decisions and regulatory compliance through high-quality analytics and cross-functional collaboration.

As a Senior Associate in Home Lending Planning and Analysis (P&A), you will lead the development and enhancement of advanced forecasting models that drive strategic decision-making and regulatory compliance. You'll collaborate with cross-functional teams to deliver high-quality analytics and implement innovative technologies. This role offers significant opportunities for professional growth and impactful contributions to the organization’s financial and operational objectives.

Job responsibilities

• Develop, refine, and maintain qualitative and quantitative models, including time series forecasting, econometric, and machine learning models, in alignment with firm’s model risk guidelines and regulatory requirements.
• Lead statistical model enhancements and perform in-depth analysis, including evaluation of look-back time frames, alternative methodologies, and optimization of model assumptions.
• Assist with issue resolution for model-related challenges, ensuring timely identification, escalation, and closure of issues. Prepare and maintain model documentation for regulatory submissions and senior management reports, ensuring accuracy, completeness, and compliance.
• Support model assumptions and methodologies in technical documentation and during discussions with Model Risk Governance and Review and other stakeholders.
• Interface with multiple stakeholders, including Home Lending leadership, business finance, technology, risk to communicate findings, resolve issues, and drive process improvements.
• Conduct business and process due diligence to develop functional requirement documents and support user acceptance testing (UAT), including test planning, execution, and training documentation.
• Evaluate, introduce, and deploy new tools and technologies to the Home Lending team, developing use cases and leading technology transformation initiatives.

Required qualifications, capabilities, and skills

• Master’s degree required in Finance, Accounting, Economics, Analytics, Engineering, Mathematics, Statistics, or a related quantitative field.
• 5+ years of experience in finance, management consulting, analytics, risk, or financial planning & analysis roles.
• Advanced quantitative, analytical, and problem-solving skills, with hands‑on experience in econometric modeling (e.g., OLS, time series) and familiarity with machine learning techniques.
• Proficiency in Python (required), SQL, and strong knowledge of Microsoft Office.
• Experience with analytical and database platforms such as Essbase, Tableau, Alteryx, and Databricks.
• Project management experience, with the ability to manage multiple tasks and deliverables simultaneously.
• Excellent written and verbal communication skills, with the ability to create clear and concise documentation and communicate effectively with stakeholders at all levels, including governance forums.

Preferred qualifications, capabilities, and skills

• PhD degree preferred in a quantitative field.
• CFA/FRM certification a plus.
• Experience in mortgage banking, regulatory reporting, and model risk management.
• Data science, AI/ML, and automation experience.
• Understanding of macroeconomic and business environments.

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.

Drive strategic decisions and regulatory compliance through high-quality analytics and cross-functional collaboration.