Lead Quantitative Analyst – Customer Lifecycle & Retention Strategy & Analytics

About brighthush

brighthush is a trailblazer in the online mortgage lending arena, having successfully funded over $130 billion in loans. As one of the nation’s most respected privately‑owned mortgage platforms, we are driven by a single, powerful mission: to deliver responsible, customer‑centric home‑lending solutions with unwavering integrity, dedication, and excellence. Our success is powered by cutting‑edge technology, data‑driven insights, and a culture that celebrates every contribution.

At brighthush, we believe that our people are the heart of our innovation. We foster an environment where talent thrives, ideas flourish, and achievements are celebrated. If you’re ready to bring your A‑game, exceed benchmarks, and help shape the future of mortgage lending, you belong with us.

Role Overview

We are seeking a Senior Lead Quantitative Analyst to spearhead analytical initiatives across customer conversion, follow‑up, retention, and recapture. This is a hands‑on, high‑ownership role that blends deep technical expertise with sharp business judgment. You will transform ambiguous challenges into actionable, data‑driven recommendations that accelerate revenue and profit.

In a fast‑paced, collaborative environment, you’ll move ideas from concept to production at lightning speed. Your work will be technically demanding, highly visible, and critical to the organization’s success. You’ll lead by example, mentor junior analysts, and partner with leaders across Sales, Operations, Marketing, and Servicing.

Key Responsibilities

• Identify, quantify, and prioritize opportunities that enhance customer experience and drive business outcomes.
• Design, develop, and maintain robust KPIs, dashboards, and experimental measurement frameworks.
• Collaborate directly with cross‑functional leaders to translate business objectives into analytical projects.
• Build and optimize complex T‑SQL queries, data models, and analytical pipelines that support large‑scale customer lifecycle analysis.
• Lead experimentation initiatives, including hypothesis design, statistical analysis, and result interpretation.
• Provide analytical guidance and mentorship to a growing team of analysts.
• Communicate insights and recommendations to senior executives in a clear, concise, and impactful manner.
• Champion data quality, governance, and best practices across the analytics function.
• Stay abreast of industry trends, emerging analytical techniques, and new data sources that can enhance our competitive edge.

Essential Qualifications

• 7+ years of progressive experience in analytics, data science, or quantitative research.
• Advanced proficiency in T‑SQL and experience building scalable data solutions.
• Strong background in experimentation, A/B testing, and statistical measurement.
• Demonstrated ability to translate complex data into actionable business insights.
• Excellent problem‑solving skills, with a bias toward rapid, data‑driven decision making.
• Exceptional communication skills, capable of presenting to and influencing senior leadership.
• Experience working in a high‑growth, fast‑paced environment.
• Proficiency with data visualization tools (e.g., Power BI, Tableau, Looker).
• Strong business judgment and a customer‑first mindset.

Preferred Qualifications

• Experience in the mortgage or financial services industry.
• Knowledge of customer lifecycle analytics and retention modeling.
• Familiarity with cloud data platforms (AWS, Azure, GCP) and modern data warehousing solutions.
• Experience with Python or R for statistical modeling and machine learning.
• Background in data engineering or ETL pipeline development.
• Advanced degree (MBA, MS, PhD) in a quantitative discipline.

Skills & Competencies

• Analytical Thinking & Quantitative Rigor
• Statistical Modeling & Experimental Design
• Data Engineering & SQL Mastery
• Business Acumen & Strategic Insight
• Leadership & Mentorship
• Effective Storytelling & Executive Communication
• Agility & Adaptability in a Rapidly Evolving Landscape
• Collaboration & Cross‑Functional Influence

Career Growth & Learning Opportunities

At brighthush, your career trajectory is as dynamic as the industry we serve. As a Lead Quantitative Analyst, you’ll:

• Progress into senior analytics leadership roles, such as Director of Analytics or Chief Data Officer.
• Lead cross‑functional initiatives that shape product strategy and customer experience.
• Access continuous learning resources, including workshops, certifications, and industry conferences.
• Participate in mentorship programs, both as a mentor and mentee, to broaden your professional network.
• Contribute to thought leadership through internal whitepapers, external publications, and speaking engagements.

Work Environment & Company Culture

brighthush thrives on a culture of innovation, transparency, and mutual respect. We value:

• Open communication and constructive feedback.
• Work‑life balance, supported by flexible remote work options.
• Diversity, equity, and inclusion at every level of the organization.
• Recognition of individual and team achievements.
• Continuous improvement and a growth mindset.

Compensation & Benefits

We offer a competitive total rewards package designed to attract, motivate, and retain top talent.

• Base Salary: $140,000 – $165,000 annually, commensurate with experience.
• Performance Bonus: Up to 15% of base salary, tied to individual and company performance.
• Equity: Eligible for a grant of company stock options.
• Health & Wellness: Comprehensive medical, dental, and vision plans.
• Retirement: 401(k) with company match.
• Paid Time Off: Generous PTO policy, 12 paid holidays, and flexible sick leave.
• Professional Development: Paid training, conference attendance, and tuition reimbursement.
• Employee Discounts: Savings on home‑lending products and partner services.
• Referral Program: Competitive referral bonuses for successful hires.
• Other Perks: Remote work stipend, wellness stipend, and access to virtual team events.

Remote Work & Technical Requirements

As a remote‑first organization, we require a reliable high‑speed internet connection:

• Minimum 70 Mbps download / 30 Mbps upload for basic connectivity.
• Preferred 200–300 Mbps download / 35–70 Mbps upload for shared use.
• Optimal 500–1,000 Mbps download / 100+ Mbps upload for heavy use.
• Connection via Ethernet cable is mandatory to ensure stability.

How to Apply

Ready to make a lasting impact on the future of mortgage lending? Submit your resume and a cover letter outlining your relevant experience and why you’re excited about this role.

Closing

At brighthush, we’re not just building a company; we’re shaping the future of home ownership. If you’re a data‑driven strategist with a passion for customer experience, we invite you to join our team and help us redefine excellence together.