Senior Actuarial Analyst
Listed on 2026-01-27
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Finance & Banking
Risk Manager/Analyst, Actuary, Financial Analyst, Financial Consultant
Open Lending provides automated lending services to financial institutions, leveraging machine learning and predictive analytics to deliver risk‑based pricing — all backed by the security of our insurance carrier partners.
Before going public in 2020, Open Lending ranked among Austin’s fastest‑growing privately held companies, placing for seven consecutive years on the Austin Business Journal’s Fast 50 list. We have also been recognized as a top workplace by both the Austin Business Journal and the Austin American‑Statesman.
The OpportunityOpen Lending is seeking a Senior Actuarial Analyst to join our Actuarial team with a primary focus on rate indications and pricing analysis for our Lenders Protection® program. This role is well‑suited for an actuarial student with 2–5 years of experience who is actively pursuing CAS exams and looking to deepen hands‑on experience in pricing, rate adequacy, and portfolio performance analysis.
The ideal candidate will have prior experience developing or supporting rate indications, evaluating loss trends, and translating actuarial findings into clear recommendations for business partners.
What You’ll Do- Develop and maintain rate indications, including loss trend analysis, exposure projections, and profitability assessments
- Evaluate rate adequacy across segments and lenders to support pricing recommendations
- Monitor loss experience and emerging trends to identify areas of risk or opportunity
- Support pricing changes by quantifying expected impacts on profitability and volume
- Build and maintain dashboards and reports to track key pricing and performance metrics
- Partner closely with Risk, Claims, Data, Product, and Finance teams to support business decisions
- Assist with ad‑hoc actuarial analyses related to pricing, portfolio management, and program performance
- Continue professional development through actuarial exams and on‑the‑job learning
- Bachelor’s degree in actuarial science, Mathematics, Statistics, or a related quantitative field
- 2–5 years of actuarial experience, preferably in pricing or rate analysis
- Demonstrated experience with rate indications or similar pricing analyses
- Progress toward CAS credentials; ACAS or near‑ACAS status preferred
- Excellent problem‑solving skills with the ability to analyze complex data and develop actionable insights.
- Strong proficiency in Microsoft Excel (including advanced functions, pivot tables, and data visualization).
- Proficiency in SQL for data extraction and analysis
- Experience with Excel and actuarial modeling techniques
- Familiarity with Power BI, Tableau, or similar reporting tools
- Experience with Python or R is a plus
- Ability to communicate technical results clearly to non‑technical stakeholders
- Naturally curious, with a passion for learning and exploring new tools, techniques, and approaches.
The First 90 Days
- Develop a strong understanding of Open Lending’s products, pricing framework, and the Lenders Protection® program
- Become familiar with core datasets, data sources, and key performance metrics used in pricing and profitability analysis
- Learn existing rate indication methodologies, review cycles, and governance processes
- Build relationships with key partners across Claims, Risk, Data, Product, and Finance
- Demonstrate strong organization and communication by documenting assumptions, questions, and learnings clearly
- Independently support components of pricing reviews and rate indications under guidance from senior actuarial team members
- Meet expected timelines for recurring reviews, analyses, and deliverables
- Produce clear, well‑organized analyses and summaries that can be shared with stakeholders
- Identify opportunities to improve clarity, consistency, or efficiency in existing actuarial workflows
- Continue building trust through proactive communication and dependable follow-through
- Deepen technical proficiency by working hands‑on with Open Lending’s data infrastructure, including learning table structures, key fields, and data relationships
- Take ownership of end‑to‑end components of quarterly rate indications or pricing analyses
- Develop or refine…
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