Quantitative Analytics Lending Analyst – REMOTE jobs in United States
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CGS Business Solutions · 1 day ago

Quantitative Analytics Lending Analyst – REMOTE

CGS Business Solutions is a nationally recognized leader in IT staffing and consulting, and they are seeking a Quantitative Analytics Lending Analyst. The role involves reshaping and elevating the company’s residential mortgage lending data analysis, focusing on various aspects from marketing to pricing analytics and modernizing the analytics toolkit.

AppsCyber SecurityInformation TechnologyIT InfrastructureStaffing Agency
Hiring Manager
Jordan Orlando
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Responsibilities

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

Qualification

PythonSQLData analysisMachine learningData cleaningDashboard developmentStatistical analysisCommunication skillsOrganizational skillsTime managementTeam-oriented

Required

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
Strong organizational skills and time management skills to perform multiple tasks within limited time frames

Preferred

Experience with Linux environments

Company

CGS Business Solutions

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CGS Business Solutions engages in application development, network infrastructure, cybersecurity, engineering and staffing services.

Funding

Current Stage
Early Stage
Company data provided by crunchbase