Senior Manager, Data Analytics

First Help Financial (FHF) is a fast-growing and culturally diverse company in the U.S. We provide auto loans to the underserved and care for our customers and partners with exceptional service. Through flexible financing options and tri-lingual support, we offer consumers an easier way to finance their first car. We lend to and support our portfolio which has consistently grown 30%+ each year over the last nine years.

Here you will find hard-working colleagues who come from over 20 countries. We hold ourselves to the highest standards of professionalism but also enjoy our work. Our culture and benefits are geared towards making you successful in life and comfortable at work.

Your Title: Senior Manager, Data Analytics

Your Location:  Remote/Anywhere in the US

You Report To: Director, Advance Analytics & Enterprise Data

Compensation: $185,346 total compensation package plus a Long Term Incentive Plan!

Learn more about our awesome Analytics team!

About the Opportunity: The Senior Manager, Advance Analytics will partner closely with the CEO and other C-level executives to shape analytics strategy and drive measurable business impact. You will lead and develop an analytics team of data scientists prioritizing the roadmap, delegating responsibility, and ensuring timely, high-quality delivery across portfolio, pricing, and operational analytics. You will connect internal and external data to surface emerging risks and opportunities, translate insights into clear executive recommendations, and raise the bar on analytical rigor, data governance, and stakeholder communication.

What you will do:

Your duties include, but are not limited to:

Portfolio Analytics

• Lead portfolio performance and risk-trend analyses, incorporating macroeconomic context and translating results into business recommendations.
• Provide insights beyond core datasets by triangulating quantitative findings with customer behavior, operational signals, and market dynamics.
• Lead risk-based pricing strategy and model development to optimize expected loss, yield, and unit economics across acquisitions and originations.
• Monitor pricing performance (mix shift, loss curves, contribution margin) and drive tests/guardrails to improve outcomes.

Operations Analytics

• Set strategy and KPIs to improve funder, underwriting, and servicing effectiveness across key credit dimensions.
• Drive initiatives to reduce delinquency, losses, and roll-rates—translating analyses into prioritized action plans with clear owners.
• Partner with operations leaders to design and measure collection and servicing strategies, scaling what works through experimentation.
• Standardize and automate reporting and data quality monitoring; establish governance for definitions, metrics, and recurring business reviews.

Cross-functional

• Lead a team of data scientists by prioritizing the analytics backlog, delegating responsibility, coaching, and ensuring high-quality delivery.
• Partner with Technology/Data Engineering to define the data and tool roadmap (warehouse/BI/ML enablement) and deliver scalable, AI-ready datasets.
• Align with Risk on underwriting, credit strategy, and risk-based pricing—setting guardrails, monitoring model performance, and driving iterative improvements.
• Partner with Sales to provide analytics support for program enhancements (performance readouts, opportunity sizing, and measurement of impact).

What you bring:

• Bachelor’s degree in finance, Statistics, Mathematics, Engineering or similar is required.
• 10+ years of experience in Analytics, Data Science, or Statistical Modeling, including 3+ years managing and developing analysts/data scientists.
• Advanced SQL and data scripting language (Python, SAS, R) experience; comfortable working with modern cloud warehouses and large-scale datasets.
• Proficiency with BI/analytics tools (e.g., Sigma, Tableau, Power BI) and the ability to operationalize metrics into decision.
• Executive communication and stakeholder management experience; able to influence decisions with clear narratives and recommendations.
• Ability to translate ambiguous business problems into structured analyses, prioritize workstreams, and delegate effectively to deliver on timelines.

Differentiating Factors:

• Prior experience leading analytics teams in auto finance, fintech/credit, or consumer lending.
• Experience with modern data stacks (e.g., Snowflake, Databricks, AWS) and productionizing analytics workflows.
• Deep experience with credit risk, underwriting, and risk-based pricing (loss forecasting, pricing guardrails, and performance monitoring).
• Experience with machine learning principles such as A/B testing, association analysis, clustering, decision trees, neural networks, principal component analysis, regression, etc.

FHF Benefits:

Great Perks – We offer generous salaries, competitive health and welfare benefits, paid vacation, 401(k) match, tuition reimbursement, quarterly social outings, monthly lunches, a robust employee recognition, and training development program to enhance your career with us.

Culture - We are believers in maintaining a healthy work-life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself.

Growth - Company growth provides unprecedented career growth. FHF’s extraordinary year over year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in you.

Diversity and Inclusion:

FHF is committed to building a culture that respects and embraces all walks of life, inclusive of all genders, race, culture, age, sexual orientation, and other identities. We will make accommodations when interviewing anyone with special needs.