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Senior Vendor Manager
strategic objectives Ensure agency partners deliver a personalized and seamless borrower experience Required Qualifications MBA from a top-tier business school with consulting experience Strong quantitative and modeling skills; familiarity with SQL, Python
Financial Modeling Consultant
degree in Finance, Economics, Statistics, or a related field 4-6 years of experience in financial modeling, forecasting, or FP&A roles Proficiency in forecasting methods and financial principles Experience with statistical modeling tools such as Python
Sales Commission Analyst
Qualifications Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's preferred) 8+ years of analytical experience in an e-commerce or related field Strong proficiency in SQL and data analysis tools such as Python
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Credit Risk Strategy Manager
Econometrics, Statistics, Operations Research, or a related field Three years of credit risk management experience in the financial services industry Understanding of the credit lifecycle Proficiency in analyzing large datasets using SAS, SQL, R, or Python
Senior Manager Fraud Prevention
monitor performance outcomes Required Qualifications 5+ years of experience in Mortgage and/or Home Equity fraud prevention strategy Proven track record of developing and implementing successful fraud prevention strategies Proficiency in SQL and Python
Sales Commission Analyst
Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's preferred) 8+ years of analytical experience in e-commerce, marketplace, or home services Strong proficiency in SQL and data analysis tools such as Python
Sales Compensation Analyst
Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's preferred) 8+ years of analytical experience in e-commerce, marketplace, or home services Strong proficiency in SQL and data analysis tools such as Python
Senior Manager, Mortgage Fraud
Mortgage and/or Home Equity fraud prevention strategy Proven track record of successful fraud prevention strategy development and implementation Strong background in utilizing technology, AI, and automation for fraud strategies Proficiency in SQL and Python
Sales Commissions Analyst
in Data Science, Economics, Statistics, Engineering, or a related field (Master's preferred) 8+ years of analytical experience in an e-commerce, marketplace, or home services-related field Strong proficiency in SQL and data analysis tools such as Python
Senior Finance Operations Analyst
Qualifications 4-6 years in high-growth B2B SaaS FP&A/BizOps with ownership of ARR waterfall and retention analytics Fluency in SaaS definitions and ability to teach them to non-finance peers Advanced skills in Excel/Google Sheets/SQL; familiarity with Python
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