USAA
USAA
USAA yra finansinių paslaugų įmonė, daugiausia aptarnaujanti esamus ir buvusius JAV kariuomenės narius bei jų šeimas. Įmonė siūlo bankininkystės, draudimo ir investavimo produktus, kuriuos papildo saugūs skaitmeniniai įrankiai ir į narius orientuotas aptarnavimas. Įmonė suburia finansinių technologijų, rizikos valdymo, veiklos organizavimo ir klientų patirties srityse dirbančias komandas, kad padėtų nariams tvarkyti savo finansus.

Mid-Level Decision Science Analyst, P&C Analytics | USAA | Hybrid

USAA is hiring a mid-level Decision Science Analyst to support personal lines Property & Casualty underwriting through advanced data analysis. The role develops insights that guide risk strategy, mitigation, and profitable growth.

Aprašymas

  • Optimize underwriting strategies for USAA’s personal lines Property & Casualty business
  • Acquire, integrate, and analyze complex data sets from end to end
  • Support decisions involving risk precision, risk sharing, risk mitigation, and risk acceptability
  • Collaborate across functions to clarify business objectives and shape solution strategies
  • Apply advanced analytical methods to medium- and large-scale business challenges
  • Use scientific and quantitative methods to turn analysis into actionable recommendations
  • Prepare recommendations and supporting materials for peer review and mid- to upper-level management
  • Create data visualizations that communicate findings to less technical audiences
  • Locate and validate relevant, high-quality data through testing and exploratory analysis
  • Transform disparate data sources and apply appropriate data-quality practices
  • Record assumptions, methodologies, validation, and testing for peer review and compliance
  • Adopt emerging technologies that influence scientific and quantitative analytics
  • Present findings to shape management decisions, business direction, and strategy
  • Identify, assess, monitor, and manage risks under applicable risk and compliance policies

Reikalavimai

  • Bachelor’s degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data or Business Analysis, Data Science, or another quantitative discipline; alternatively, four years of related statistics, mathematics, or quantitative analytics experience may substitute for the degree
  • Four years of data, analytics, or relevant functional business experience in the applicable industry; alternatively, an advanced quantitative degree plus two years of relevant experience
  • Proficiency in mathematical and statistical methods used to support evidence-based decisions
  • Intermediate to advanced familiarity with data analysis, visualization, and query or procedure development using SQL, SAS, BI tools, or other analytical software
  • Understanding of relevant industry data and methods, with the ability to apply external insights to business challenges
  • Professional experience supporting core Property & Casualty insurance functions
  • Professional experience using Python for data analysis
  • Experience communicating analytical insights through data storytelling to non-technical audiences
  • Working knowledge of statistical modeling principles and interpreting model outputs into actionable business insights
  • Commitment to continually developing analytical methods and Property & Casualty insurance expertise
  • Military experience through service or as a military spouse or domestic partner
  • Must not require immigration assistance or visa sponsorship, including H-1B, TN, or STEM OPT Training Plans

Privalumai

  • Remote or hybrid flexibility may be available to active-duty military spouses, subject to applicable policy and business needs
  • Performance-based pay incentives may be provided based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
  • Medical, dental, and vision coverage
  • 401(k) plan
  • Pension plan
  • Life insurance
  • Parental benefits
  • Adoption assistance
  • Paid time off
  • Paid holidays
  • 16 hours of paid volunteer time
  • Wellness programs
  • Career path planning
  • Continuing education assistance

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