Quantitative Analytics Lending Analyst, CCM

Carrington Mortgage-posted 4 months ago
$80,000 - $150,000/Yr
Full-time • Entry Level
Greenwich, CT
1,001-5,000 employees
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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 Carrington Capital Management’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. Perform all duties in accordance with the company’s policies and procedures, all US state and federal laws and regulations, where in the company operates. The target pay for this position is $80,000 - $150,000 + Annual Bonus. Pay is based on job-related knowledge, skills, experience, and other relevant factors.

  • 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 CCM’s existing pricing, prepayment, and credit-risk models within the lending platform.
  • Analytics integration: Feed lending performance and P&L results back into CCM’s 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.
  • 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.
  • Strong SQL and Python skills for data extraction and analysis.
  • 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.
  • Comprehensive healthcare plans for you and your family.
  • Discretionary 401(k) match of 50% of the first 4% of pay contributed.
  • Access to several fitness, restaurant, retail (and more!) discounts through our employee portal.
  • Customized training programs to help you advance your career.
  • Employee referral bonuses.
  • Educational Reimbursement.
  • Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates.
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