Health Actuarial Analyst Senior

Teacher Retirement System of Texas (TRS)•Austin, TX

3d•$98,214 - $122,768•Hybrid

About The Position

With the Health Division, you’ll be joining a passionate team of self-motivated change agents united by our mission: driving to design the delivery of high-quality healthcare for nearly three-quarters of a million active and retired Texas public educators. The healthcare industry is complex and we’re a team of problem-solvers who are up for the challenge. With a focus on innovation and collaboration to catalyze the market, we spend more than $4 billion annually on healthcare to make a difference in our members’ lives. With a career at TRS, you’ll be empowered through a culture of continuous learning, front-line decision-making, coaching and mentorship to shape the future of our work, while transforming healthcare delivery for 1 in 41 Texans. The Health Actuarial Analyst Senior is responsible for supporting the actuarial, statistical, and financial analysis for the TRS health benefit programs. The incumbent will support actuarial studies. valuation support, data analysis, and assumption testing. This position will proactively work with the Health Actuary team, Health staff, and agency employees. This is a hybrid position at our Austin, TX headquarters. All applicants must reside in the state of Texas upon employment and continue to reside in Texas throughout employment with TRS.

Requirements

Bachelor’s degree from an accredited college or university in actuarial science, mathematics, economics, statistics or related field.
High school diploma or equivalent and additional full-time experience in actuary, accounting, finance, research, financial data analysis or related experience may be substituted on an equivalent year-for-year basis.
Five (5) years of actuarial, accounting, finance, research, financial data analysis or closely related experience.
Knowledge of actuarial principles, statistical methods, forecasting techniques, and financial analysis.
Knowledge of healthcare financing, benefit plan design, utilization analysis, and cost trend evaluation.
Analyzing large and complex datasets and translating findings into actionable business insights.
Completing detailed work with a high degree of accuracy.
Managing projects, including planning, organizing, and prioritizing work assignments to manage a high-volume workload in a fast-paced and changing environment.
Written and verbal communications, including telephone communications and drafting and delivering complex correspondence, reports, presentations, and proposals.
Utilizing a personal computer and various business software programs including Microsoft Word, Excel, and Outlook; including using spreadsheets for data analysis and presentation.
Independently lead complex analytical projects and manage multiple priorities.
Mentor lower level staff and provide technical guidance and peer review.
Communicate technical concepts and analytical results to both technical and non-technical audiences.
Identify emerging risks, trends, and opportunities and communicate their potential impacts effectively.

Nice To Haves

Experience using statistical and analytical tools such as SQL, SAS, R, Python, Power BI, Tableau, or similar technologies

Responsibilities

Performs complex actuarial and quantitative analyses related to healthcare costs, enrollment trends, utilization patterns, contribution strategies, and benefit program performance, with guidance from credentialed actuarial staff.
Supports financial impact assessments and analyzes proposed plan design, policy, funding, or operational changes by producing models, summarizing results, and identifying key cost drivers.
Conducts experience studies, trend analyses, forecasting, scenario testing, and financial evaluations to support actuarial projects and business decisions.
Develops, analyzes, and tests assumptions used in actuarial studies and forecasting models and provides supporting analysis for actuarial review.
Identifies trends, risks, anomalies, and opportunities through quantitative analysis and research.
Reconciles, validates, edits, and prepares complex datasets for actuarial analysis, financial projections, and analytical studies.
Reviews source data for completeness, accuracy, and consistency and resolves discrepancies with internal stakeholders and external partners.
Supports actuarial processes through data preparation, testing, reconciliation, and quality assurance activities.
Maintains documentation of data sources, validation procedures, assumptions, and methodologies to support transparency and auditability.
Performs related work as assigned.