Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline
OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree
6 years of data & analytics experience
OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e.P&C;, Bank, Finance, Marketing etc.) for a total of 6 years combined experience
OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C;, Bank, Finance, Marketing, etc.)
Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems
Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.)

SmartExplore AI is experimental.

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Santander Holdings USA

Dallas, TX 75201

Onsite

Bachelor's Degree or equivalent work experience
7+ years of experience working with statistical models, developing, and/or validating machine learning or Generative AI solutions, including rigorous testing and documentation
Quantitative or analytical professional background in Finance, Economics, Statistics, Mathematics, Engineering, or a related discipline
Experience in the financial services industry with exposure to data management, risk modeling, and regulatory compliance (e.g., BCBS 239, SR 11-7)
Demonstrated ability to operate effectively within a controlled, regulated environment with strong documentation standards and a risk-and-controls mindset

SmartExplore AI is experimental.

Higher-Hire