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Mid Level Bayesian Statistics Jobs (NOW HIRING)

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

New

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

New

The Opportunity As a dedicated Model Validator (Mid-Level) , you will execute model risk validation ... Working Experience with statistical, econometric, data science, or predictive modeling approaches ...

New

Provide guidance and advice as needed for junior and mid-level staff on projects requiring use of ... PhD in Biostatistics/Statistics or related field with 4+ years of experience, MSc in Biostatistics ...

Bayesian & MCMC Mastery: * 2+ years focused on implementing and deploying complex casual / statistical models for business impact. * Expert-level experience with Markov Chain Monte Carlo (MCMC ...

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Mid Level Bayesian Statistics information

What is the difference between Mid Level Bayesian Statistics vs Data Scientist?

AspectMid Level Bayesian StatisticsData Scientist
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or higher in Data Science, Computer Science, or related field
Work EnvironmentResearch-focused, analytical, often in finance, healthcare, or academiaCross-functional teams, data analysis, machine learning, business insights
Industry UsageStatistical modeling, probabilistic analysis, research projectsData analysis, predictive modeling, data visualization

Mid Level Bayesian Statistics specialists focus on advanced probabilistic modeling and statistical inference, often in research or specialized industries. Data Scientists have a broader scope, combining statistical analysis with programming and machine learning to solve business problems. While both roles require strong analytical skills, Bayesian statisticians typically emphasize probabilistic models, whereas Data Scientists integrate multiple techniques for data-driven decision-making.

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Infographic showing various Mid Level Bayesian Statistics job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.
Model Validator (Mid-Level) - Fraud/AML

Model Validator (Mid-Level) - Fraud/AML

USAA

Phoenix, AZ • Hybrid

$93.77K - $179.24K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 250 frontline employees who took The Breakroom Quiz

36th of 141 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Model Validator (Mid-Level), you will execute model risk validation oversight for the life-cycle management of models which includes conducing model validation activities. Executes the model validation oversight process compliant with the written risk and compliance policies and procedures which require independence from model stewards (e.g., model owners, developers, implementers, users, and other stakeholders) throughout the lifecycle of the model's use and maintenance.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

What you'll do:

  • Executes independent model validation control activities for lower risk, in-house and vendor, models. Conducts validation activities for low-risk, in-house models, and assists, under supervision and in collaboration with peers, on higher risk, complex and vendor models.
  • Conducts back-testing, diagnostic testing, sensitivity analysis, benchmarking, and other validation tests/analyses on lower risk models; collaborates with senior-level validators for higher risk models.
  • Executes and assists in replicating model development and may help develop challenger models through principles of predictive modeling, machine learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, and/or other techniques.
  • Reviews at a working experience level the end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use in areas of Banking and Insurance (Property & Casualty and Life) along with their corresponding business support functions and operational processes.
  • Assesses the materiality of model changes and conducts model change validations.
  • Produces and delivers validation reports and related validation work to model validation management and model stakeholders.
  • Executes the independent model validation process compliant with the written risk and compliance policies and procedures at a working experience level. Evaluates model risk control strengths around model development, implementation, and use.

What you have:

  • 4 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research; OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 2 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
  • Experience communicating verbally and in-writing quantitative/technical concepts and conclusions to non-technical audiences and senior leadership.
  • Proficient programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing.
  • Working Experience with statistical, econometric, data science, or predictive modeling approaches including Linear Regression; Time-Series/Forecasting; Logistic Regression; Machine Learning. Business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge.

What sets you apart:

  • US military experience through military service or a military spouse/domestic partner.
  • Model development or validation in Fraud, Anti-Money Laundering (AML), Member Identity and Access Management.

Compensation range: The salary range for this position is: $93,770 - $179,240.

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.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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