Senior Lead Quantitative Analyst – Customer Lifecycle & Retention Strategist, Driving Data‑Powered Growth, Engagement, and Loyalty Excellence at brighthush
About brighthush
brighthush is a trailblazer in the digital mortgage arena, having facilitated over $130 billion in funded loan volume. As one of the nation’s largest privately‑owned digital lenders, we are redefining the home‑buying experience by marrying cutting‑edge technology with data‑driven insights. Our mission is simple yet powerful: deliver responsible, customer‑centric home‑lending solutions with unwavering integrity, dedication, and excellence. At brighthush, we believe that the best results come from a dynamic, talented workforce that is empowered to innovate, collaborate, and celebrate every milestone together.
Why brighthush?
When you join brighthush, you become part of a high‑velocity, high‑impact team that turns data into action and ideas into revenue. We champion a culture of ownership, curiosity, and continuous learning—where every analyst’s voice is heard and every contribution is recognized. Our people thrive in an environment that balances autonomy with mentorship, and where the fastest ideas move from concept to production in record time.
Role Overview
The Senior Lead Quantitative Analyst – Customer Lifecycle & Retention Strategist is a senior, hands‑on analytical role that sits at the intersection of data science, product strategy, and business operations. You will spearhead analytical initiatives that drive customer acquisition, engagement, and long‑term loyalty across our sales, marketing, operations, and servicing functions. Your work will directly influence key business metrics, shape product roadmaps, and unlock new revenue streams.
Key Responsibilities
- Strategic Analysis & Opportunity Identification – Lead end‑to‑end analytical projects that uncover actionable insights to improve customer conversion, retention, and recapture rates.
- Advanced Modeling & Experimentation – Design, build, and validate predictive models, A/B tests, and multivariate experiments that inform product and marketing decisions.
- Data Architecture & Pipeline Development – Craft robust T‑SQL queries, data pipelines, and dashboards that support real‑time decision making across the organization.
- Stakeholder Collaboration – Partner directly with leaders in Sales, Operations, Marketing, and Servicing to translate business questions into analytical solutions.
- Mentorship & Leadership – Provide technical guidance, code reviews, and best‑practice coaching to junior analysts and cross‑functional teams.
- Performance Measurement & Reporting – Define, track, and report on KPIs that align with corporate goals, ensuring data integrity and clarity for executive audiences.
- Continuous Improvement – Champion a culture of experimentation, data quality, and process optimization to elevate analytical rigor across the business.
Essential Qualifications
- 7+ years of experience in analytics, data science, or quantitative research within a fast‑paced, high‑growth environment.
- Expertise in T‑SQL and relational database design; ability to write complex, production‑grade queries.
- Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker) and a strong eye for clear, actionable dashboards.
- Deep understanding of experimentation frameworks, statistical inference, and hypothesis testing.
- Exceptional problem‑solving skills, coupled with strong business judgment and the ability to communicate findings to non‑technical stakeholders.
- Experience leading cross‑functional projects and influencing executive decision‑making.
- Strong written and verbal communication skills, with a track record of presenting complex analyses in a concise, compelling manner.
Preferred Qualifications
- Background in the financial services or mortgage industry, with familiarity of loan origination, servicing, and regulatory compliance.
- Experience with cloud data platforms (Azure, AWS, GCP) and modern data engineering tools (Snowflake, Databricks).
- Knowledge of customer segmentation, churn modeling, and lifecycle marketing strategies.
- Proficiency in Python or R for statistical modeling and machine learning.
- Prior experience in a leadership or mentorship capacity within an analytics team.
Skills & Competencies
- Data‑Driven Decision Making
- Statistical Analysis & Experiment Design
- SQL & Database Optimization
- Data Visualization & Storytelling
- Project Management & Agile Methodologies
- Cross‑Functional Collaboration
- Executive Communication & Influence
- Continuous Learning & Adaptability
Career Growth & Learning Opportunities
At brighthush, we invest heavily in the professional development of our people. As a Senior Lead Quantitative Analyst, you will:
- Progress into senior leadership roles such as Director of Analytics or Chief Data Officer.
- Participate in our internal “Innovation Lab,” where you can prototype new data products and influence product strategy.
- Access a curated learning library, including courses on advanced analytics, machine learning, and leadership.
- Mentorship from senior executives and data scientists who are passionate about nurturing talent.
- Opportunities to present at industry conferences, representing brighthush on the global stage.
Work Environment & Culture
Our culture is built on four pillars: Ownership, Collaboration, Innovation, and Celebration. We foster a flexible, remote‑first environment that values work‑life balance while encouraging high performance. Our teams are cross‑functional, diverse, and driven by a shared vision to make home‑ownership accessible and enjoyable for everyone.
Compensation & Benefits
We offer a competitive total rewards package that reflects your expertise and the impact you will bring to brighthush.
- Base Salary – $140,000 to $165,000 annually, commensurate with experience.
- Performance Bonus – Up to 15% of base salary based on individual and company performance.
- Equity – Eligible for a grant of company stock options.
- Health & Wellness – Comprehensive medical, dental, vision, and life insurance plans.
- Retirement – 401(k) plan 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 Perks – Company discounts, wellness stipend, and remote‑work equipment allowance.
- Referral Bonus – Competitive referral program for bringing top talent into the team.
Remote Work Requirements
To maintain the high quality of our analytics output, we require a reliable high‑speed internet connection (minimum 70 Mbps downstream, 30 Mbps upstream for basic use; 200–300 Mbps downstream, 35–70 Mbps upstream for shared use; 500–1,000 Mbps downstream, 100+ Mbps upstream for heavy use). A wired Ethernet connection is preferred to ensure stability.
Equal Opportunity Employer
brighthush is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Privacy & Data Protection
All applicants and employees residing in California are covered by the California Consumer Privacy Act (CCPA). Our Privacy Policy Statement and CCPA Recruitment Disclosure can be reviewed on our website. By applying, you acknowledge that brighthush will collect, store, and process your personal information in accordance with these policies.
Ready to Make an Impact?
If you are a data‑savvy, results‑oriented analyst who thrives in a fast‑moving, high‑ownership environment, we want to hear from you. Join brighthush and help us shape the future of home lending—one insight at a time.