Role: Quantitative Analytics Lending Analyst
Location: Remote (Must leave near: Greenwich, CT, Plano, TX, Indianapolis, IN, Jacksonville, FL, Nashville, TN, or Orange CA)
Duration: Full Time, Direct Hire
Compensation: $100-150k base + bonus
Work Requirements: US Citizen, GC Holders or Authorized to Work in US

If interested, please contact Margot Parsons at mparsons@inspyrsolutions.com or call 714-465-5478

Summary

• The Quantitative Analytics Lending Analyst will be responsible for helping to reshape and elevate the company's residential mortgage lending data analysis, including marketing and customer engagement to pricing analytics, P&L, and market-trend insights, while modernizing the company's analytics toolkit.
• Leverage and bridge the company's investor-grade analytics platform with our lending affiliate: adapting the company's proprietary models and tools for lending use cases, integrating lending performance back into the company's ecosystem, and driving actionable insights for capital-markets and investor initiatives. 

What you'll do:

• End-to-end data ownership: Clean, reorganize, and harmonize loan-origination, servicing, marketing, and customer datasets to extract actionable signals and performance metrics.
• Tool & model adaptation: Write wrappers and interfaces to deploy existing pricing, prepayment, and credit-risk models within the lending platform.
• Analytics integration: Feed lending performance and P&L results back into company analytics ecosystem to close the loop and inform investor reporting.
• Reporting & dashboards: Develop and maintain self-service dashboards and reports to track key lending metrics – recapture rates, marketing ROI, pricing variance, P&L attribution, and market trends.
• Performance reporting: Prepare, present, and explain performance reports to senior lending management; gather and analyze feedback from loan officers to refine analytics and strategies.
• Strategic partnerships: Collaborate with pricing, portfolio, investor-relations, and capital-markets teams to translate analytics into lending strategies and execute investor-driven initiatives.
• Ecosystem modernization: Automate data pipelines, standardize definitions across CCM and lending systems, and deploy scalable analytics tools.
• Cross-functional liaison: Work with IT, CRM, operations, and third-party vendors to ensure data quality and timely delivery of insights.
• Ad-hoc analysis: Respond rapidly to one-off requests from senior management, investors, and affiliated divisions.
• Perform other duties and projects as assigned.

What you'll need:

• Bachelor's or advanced degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Finance).
• A minimum of one year of hands-on experience in mortgage-lending analytics, capital-markets analytics, or a related role; exceptional analysts with strong programming skills will also be considered.
• Strong Python and SQL skills for data extraction, transformation, and analysis; familiarity with machine-learning techniques is highly desirable.
• Proven ability to adapt and deploy proprietary quantitative models—experience writing wrappers or APIs to integrate analytics pipelines.
• Demonstrated aptitude for working with and organizing unstructured or messy marketing/customer data: data-cleaning, ETL, and signal-extraction expertise required.
• Experience building self-service dashboards or reporting tools (e.g., Tableau or similar).
• Solid working knowledge of loan-origination and servicing workflows, including mechanisms for recapturing existing customers.
• Excellent communication skills: able to translate complex analytics into clear, actionable insights for non-technical stakeholders.
• Highly organized, self-motivated, and adept at juggling multiple high-priority projects in a fast-paced environment
• Excellent skills in mathematics and statistics.
• Hands-on experience using Python and various statistical packages to process and analyze large data sets.
• Ability to apply popular machine learning techniques with reasonable understanding of their underlying algorithms.
• Experience with Linux environments is preferred.
• Highly motivated, team-oriented, a quick learner with good communication skills.
• Strong organizational skills and time management skills to perform multiple tasks within limited time frames.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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