Quantitative Analytics Manager – Contact Center

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October 3

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AmeriSave Mortgage Corporation

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Finance • Real Estate

AmeriSave Mortgage Corporation is a leading online mortgage lender offering a variety of home financing solutions, including first and second mortgages, home equity loans, and refinancing options. With 20 years of mortgage experience, AmeriSave has served over 733,603 borrowers across 49 states in the U. S. The company prides itself on providing easy and fast mortgage processes with access to quick quotes and approvals, low rates, and secure rate locks. AmeriSave is committed to helping its clients achieve financial freedom and better financial positions through responsible home equity usage and effective mortgage solutions. The company is well-regarded for its excellent customer service and accessibility, offering support in multiple languages and emphasizing easy online interactions for customer convenience.

5001 - 10000 employees

Founded 2002

💸 Finance

🏠 Real Estate

📋 Description

• Develop and refine predictive dialing strategies to maximize contact rates, conversion, and profitability. • Build and maintain models to forecast call volumes and optimize staffing schedules for efficiency and service levels. • Design and execute experiments on contact center scripting, agent routing, and engagement strategies to improve outcomes. • Implement intelligent routing logic that aligns customer-agent interactions with profitability metrics. • Create dashboards and reports to monitor KPIs, identify trends, and recommend actionable insights. • Partner with Operations, Technology, and Revenue teams to align analytics initiatives with business goals.

🎯 Requirements

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or related field. • 5+ years of experience in quantitative analytics, preferably in a call center or contact center environment. • Proven experience with dialer systems, workforce management tools, and routing logic. • Strong proficiency in SQL, Python, R, or similar analytical tools. • Experience with A/B testing frameworks and experimental design. • Excellent communication skills and ability to translate complex data into actionable strategies. • Experience in mortgage, financial services, or regulated industries (preferred). • Familiarity with tools like NICE, Genesys, Five9, or similar contact center platforms (preferred). • Exposure to profitability modeling and customer segmentation (preferred). • Exposure to predictive dialers and large-scale call center operations (preferred).

🏖️ 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 • Referral bonuses