AmeriSave Mortgage Corporation
Senior Quantitative Analyst - Mortgage Operations
Be an Early Applicant
Develop and maintain quantitative models for forecasting, pricing optimization, and risk assessment. Analyze mortgage business metrics to identify revenue, profitability, and operational improvement opportunities. Build performance measurement frameworks, dashboards, automated reports, and SQL-based analytics workflows. Use Python for statistical analysis, automation, and machine learning workflows. Validate and monitor model performance, recalibrating models as needed, while communicating actionable recommendations to business leaders.
AmeriSave Mortgage has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. We leverage cutting-edge technology and data-driven strategies to provide exceptional service to our customers.
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they’re celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best. Let’s redefine excellence together!
What We’re Looking For:
We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and profit.
This is a fast-paced, high-ownership environment where ideas move quickly from concept to production. You will work on projects that are not only technically challenging but also highly visible and business-critical, delivering tangible impact across the organization. Analysts are empowered to take initiative, think creatively, and solve hard problems—resulting in deeply rewarding and high-leverage contributions that drive revenue and profit for the company.
What You’ll Do:
- Design and Develop Quantitative Models: Build advanced statistical and quantitative models to support forecasting, pricing optimization, and risk assessment. Ensure models are efficient, transparent, and suitable for deployment in production environments.
- Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability. Develop actionable recommendations and partner with business leaders to prioritize and implement improvements.
- Data-Driven Performance Measurement: Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle. Develop metrics, dashboards, and automated reports that enable stakeholders to monitor progress and act on insights.
- SQL-Based Analytics Solutions: Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data. Develop stored procedures and workflows that operationalize model outputs and support business monitoring.
- Python Modeling and Automation: Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows. Leverage Python for data preparation, model training, and result generation.
- Model Validation and Monitoring: Rigorously test, validate, and monitor model performance over time. Develop processes to recalibrate or enhance models as needed to maintain accuracy and business alignment.
What You’ll Need:
- Quantitative Modeling Expertise: 5+ years of experience developing statistical, econometric, or machine learning models in a business environment.
- Advanced SQL Skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.
- Python Proficiency: Strong experience with Python for data analysis, statistical modeling, and process automation.
- Analytical Problem Solving: Ability to independently translate complex business problems into quantitative solutions. Skilled at designing experiments, validating hypotheses, and communicating findings clearly.
- Business Acumen: Experience evaluating business metrics and KPIs to identify revenue and profit improvement opportunities, operational inefficiencies, and performance trends.
- College degree preferred
High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).
`
**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **
Compensation:
Annual compensation for this position generally ranges from $130,000 - $150,000.
Benefits:
· 401(k)
· Dental insurance
· Disability insurance
· Employee discounts
· Health insurance
· Life insurance
· Paid time off
· 12 paid holidays per year
· Paid training
· Referral program
· Vision insurance
Supplemental pay types:
· Referral bonuses
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act Disclosure Acknowledgment
Employment Applicants, New Hires, and Employees Residing in California
AmeriSave Mortgage Corporation’s Privacy Policy Statement (“Policy”) can be reviewed here: www.amerisave.com/privacy-policy
AmeriSave Mortgage Corporation’s California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/
When AmeriSave’s Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.
Similar Jobs
Edtech • Fintech • Payments • Social Impact • Financial Services • Big Data Analytics
Leads and scales the implementation team, manages and mentors implementation specialists, optimizes deployment playbooks, oversees implementation risk and quality, handles executive escalations, and partners with Sales, Product, Engineering, and Client Success. Tracks implementation KPIs, resource utilization, backlogs, and CRM data integrity while driving faster customer time-to-value, retention, and account growth.
Top Skills:
Google SuiteHubspotExcel
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Leads complex, cross-functional web programs from planning through delivery, including website launches, digital campaigns, development initiatives, and continuous improvements. Owns program plans, schedules, resources, risks, dependencies, documentation, and stakeholder communications. Coordinates Creative, IT, marketing, campaigns, developers, agencies, and consultants; translates business objectives into roadmaps; supports Agile delivery; and establishes scalable digital processes and best practices.
Top Skills:
AgileAirtableArtificial IntelligenceGoogle SheetsGoogle WorkspaceJIRAKanbanSalesforceScrumTableau
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Design and deploy production AI assistants, copilots, agents, RAG systems, and workflow automation using enterprise data. Build AI backend services, APIs, microservices, and AWS serverless workflows; integrate enterprise platforms; implement observability, responsible AI, human-in-the-loop controls, and traceability. Partner with Data, IT, and business teams to improve operational processes and decision-making while managing production incidents, model rollbacks, performance, accuracy, and cost.
Top Skills:
AirflowAmazon Api GatewayAmazon BedrockAmazon EventbridgeAmazon S3AnthropicAws LambdaAws SagemakerAws Step FunctionsAzureCi/CdDbtGeminiGoMcpMlflowMlopsN8NOauthOpenaiPgvectorPythonRagRbacSalesforceSemantic RetrievalServicenowSnowflakeSnowflake Cortex SearchSnowflake Ml RegistrySnowparkSsoTypescriptVector SearchWeights & Biases
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
