Providing lending services to help our customers achieve their dream of homeownership.
At Pulte Mortgage, we’re more than a lender—we’re a team driven by purpose. Since 1972, we’ve helped over 700,000 families finance their dream homes through innovative lending solutions and a commitment to doing the right thing. As a wholly owned subsidiary of PulteGroup, we offer a people-first culture rooted in collaboration, integrity, and daily positivity. Join us in Denver, CO, and be part of a company recognized by Fortune and Great Place to Work for building meaningful careers, supporting community impact, and creating a workplace where you can thrive.
Apply now and discover a career where your contributions are valued, your growth is supported, and your work makes a lasting impact.
This position is hybrid, and located in Denver, Colorado.
Open to someone relocating to the area for the job at their own expense.
JOB SUMMARY
This position will play a key role with the Risk Analytics team, and work closely with all levels of Management and departments across the organization. This individual will be responsible for delivering actionable insights across mortgage, insurance, fraud, and financial domains. The analyst will partner with cross-functional teams to build predictive models, conduct segmentation analysis, support strategic decision-making, and integrate external market intelligence to assess trends impacting risk and profitability.
PRIMARY RESPONSIBILITIES
Develop and maintain unit economics models for Pulte Mortgage LLC, PGP Title, and Pulte Insurance Agency, segmented by geography, product, and risk.
Analyze large datasets to uncover trends, patterns, and insights.
Build predictive models and machine learning algorithms.
Perform exploratory data analysis (EDA) to identify key variables and relationships.
Develop and maintain statistical models for forecasting and optimization.
Conduct hypothesis testing and A/B experiments to validate business strategies.
Designs and implements reports and data feeds to support automation of manual processes.
Partner with Quality Control and Compliance to assess and monitor mortgage fraud risk and emerging trends.
Leverage external market intelligence to inform risk and profitability assessments.
Assists in change management and driving key business initiatives.
Provide any ad-hoc reports and/or special projects as deemed appropriate by management team
Translate business requirements into analytical solutions.
Provide actionable insights to support strategic decision-making.
Collaborate with cross-functional teams to align data initiatives with business goals.
Present findings and recommendations to stakeholders in clear, compelling formats.
Lead or contribute to cross-departmental data projects.
SCOPE
Decision Impact: Individual
Department Responsibility: Single
Budgetary Responsibility: No
Direct Reports: No
Indirect Reports: No
REQUIRED EDUCATION
Minimum of a high school diploma or equivalent required.
Typically requires a university degree or equivalent experience
Bachelor’s degree in Finance, Economics, Statistics, Computer Science, or related field (preferred)
Certifications in Microsoft Power BI, Azure Data Scientist Associate, or Microsoft Fabric (preferred)
REQUIRED EXPERIENCE
Related Analyst Experience: Minimum of 2-3 years
Proficiency in statistical analysis and modeling techniques
Prior Experience in Mortgage/Homebuilding industry is a plus.
Advanced skills in data manipulation and analysis using tools such as Python, R, SQL, and Excel.
Expertise in developing and maintaining unit economics models segmented by geography, product, and risk.
Ability to leverage external market intelligence for risk and profitability analysis.
Strong communication skills to present findings and recommendations clearly to stakeholders.
Proven ability to collaborate with cross-functional teams and lead data-driven projects.
Excellent problem-solving and critical-thinking abilities.
Proven ability to collaborate with cross-functional teams and lead data-driven projects.
Highly preferred experience:
Creation of dashboards and visualizations using Tableau, Power BI, or similar tools.
Cleaning and preprocessing raw data for analysis and modeling.
Automation of data pipelines and reporting processes.
Compensation & Benefits:
Pay Range - $100,000 to 125,000 per year dependent upon experience.
This position is also eligible for an annual bonus based on the successful completion of defined performance objectives.
In addition to up to 9 paid company holidays per year, employees are eligible for up to 6 days of sick pay. Moreover, eligible employees with less than 10 years of service can accrue up to 17 PTO days per year (and up to 22 PTO days per year upon 10 or more years of service). Employees are eligible to participate in the Company’s 401(k) Plan. Employees (and their eligible dependents) are eligible for medical, dental, and vision insurance coverage. Employees are covered by company-paid disability, basic life insurance and parental leave. Voluntary insurance coverage options, including critical illness, accident, and hospital indemnity, are also available. In addition, the Company offers an Employee Assistance Program and tuition reimbursement (as applicable). Employees may also be eligible for state required benefits such as paid family and medical leave insurance and/or paid sick time as applicable.
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PulteGroup, Inc. and its affiliates do not accept unsolicited resumes from individual recruiters or third party recruiting agencies (collectively, “Recruiters”) in response to job postings. If Recruiters nevertheless submit one or more unsolicited resumes to any employee at PulteGroup, Inc. or its affiliates without a valid written agreement in place for this position, it will be deemed the sole property of PulteGroup, Inc. and its affiliates. No fee will be owing or paid to Recruiters who submit unsolicited candidates, in the event the candidate is hired by PulteGroup, Inc. or its affiliates as a result of the referral, without a written agreement between PulteGroup, Inc. and through any means other than via our Applicant Tracking System.