Quantitative Analyst
United States
Full Time Mid-level / Intermediate USD 80K - 150K
AmeriSave Mortgage Corp.
Quick approvals and low rates on refinancing, home purchase loans, and home equity loans with AmeriSave.
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:
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.
- 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.
- Quantitative Modeling Expertise: 3+ 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
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.
Job stats:
3
0
0
Category:
Analyst Jobs
Tags: Data analysis Data pipelines KPIs Machine Learning ML models Model training Pipelines Privacy Python SQL Statistical modeling Statistics T-SQL
Perks/benefits: Career development Flex vacation Health care Insurance Salary bonus
Regions:
Remote/Anywhere
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Sr. Data Engineer jobsBusiness Intelligence Developer jobsPower BI Developer jobsBI Developer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsData Science Intern jobsDevOps Engineer jobsJunior Data Analyst jobsData Science Manager jobsSoftware Engineer II jobsData Manager jobsData Analyst Intern jobsLead Data Analyst jobsStaff Software Engineer jobsBusiness Data Analyst jobsAI/ML Engineer jobsAccount Executive jobsSr. Data Scientist jobsData Specialist jobsData Governance Analyst jobsSenior Backend Engineer jobsBusiness Intelligence Analyst jobsData Engineer III jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsLinux jobsKPIs jobsKafka jobsTerraform jobsJavaScript jobsGitHub jobsData Warehousing jobsPostgreSQL jobsRDBMS jobsNoSQL jobsScikit-learn jobsStreaming jobsComputer Vision jobsClassification jobsBanking jobsPrompt engineering jobsPhysics jobsGoogle Cloud jobsRAG jobsOracle jobs
Pandas jobsHadoop jobsdbt jobsBigQuery jobsScala jobsR&D jobsLooker jobsData warehouse jobsGPT jobsReact jobsScrum jobsLangChain jobsPySpark jobsDistributed Systems jobsELT jobsMicroservices jobsIndustrial jobsCX jobsJira jobsSAS jobsRedshift jobsOpenAI jobsModel training jobsTypeScript jobsJenkins jobs