Forecasting Actuary II — Hybrid/Remote Role

Texas A&M International

Austin (TX)

Ibrido

USD 67.000 - 85.000

Tempo pieno

14 giorni+

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Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Vantaggi offerti da questo lavoro

100% health insurance
Defined benefit pension
Generous time off
Career advancement opportunities

Descrizione del lavoro

Texas Health and Human Services Commission (HHSC) in Austin invites applications for Actuary II (Forecasting). The role focuses on building and validating forecasts for Medicaid, CHIP, TANF, and related programs using SAS or R, with strong Excel data handling and monthly reporting to leadership.

The team operates a hybrid in-office/telework schedule, typically 80% telework and 20% in-office, requiring collaboration across analysts and program staff.

Competenze

  • Graduation from a 4-year college or university with major coursework in mathematics/statistics/economics or related data analysis.
  • Experience with data analysis tools and statistical methods.

Mansioni

  • Develop complex statistical models, such as time series models, using SAS or other software (including Excel) to forecast HHS programs.
  • Maintain and update complex spreadsheets and identify opportunities for improvement.
  • Pull and analyze historical data monthly to identify anomalies and ensure forecasting relevance.
  • Provide monthly or quarterly reports on model performance and data trends to management and stakeholders.
  • Perform ad-hoc queries and simulations as requested.

Conoscenze

Analytical skills
Statistical modeling
SAS/R
Excel (pivot tables)
Attention to detail
Communication

Formazione

Bachelor's degree in mathematics/statistics/economics

Strumenti

SAS
R
SQL
Power BI
Excel

Descrizione del lavoro

Texas Health and Human Services Commission (HHSC) in Austin invites applications for Actuary II (Forecasting). The role focuses on building and validating forecasts for Medicaid, CHIP, TANF, and related programs using SAS or R, with strong Excel data handling and monthly reporting to leadership.

The team operates a hybrid in-office/telework schedule, typically 80% telework and 20% in-office, requiring collaboration across analysts and program staff.

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