The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back ...
AI Foundation Model Engineer (LLM / Agentic AI / Full-Stack AI Engineering)
Jersey City, NJ · On-site
... Engineering Level: Senior Individual Contributor Experience: 9+ years Role Overview We are seeking a Senior AI Foundation Model Engineer to build and deploy secure, scalable, enterprise-grade AI ...
AI Foundation Model Engineer (LLM / Agentic AI / Full-Stack AI Engineering)
Jersey City, NJ · On-site
... Engineering Level: Senior Individual Contributor Experience: 9+ years Role Overview We are seeking a Senior AI Foundation Model Engineer to build and deploy secure, scalable, enterprise-grade AI ...
AI Model Developer
Ashburn, VA · On-site
$125K - $150K/yr
Perform data preprocessing, feature engineering, and model optimization. * Evaluate models using domain appropriate metrics and improve performance iteratively. * Deploy custom models to production ...
AI Model Developer
Ashburn, VA · On-site
$125K - $150K/yr
Perform data preprocessing, feature engineering, and model optimization. * Evaluate models using domain appropriate metrics and improve performance iteratively. * Deploy custom models to production ...
Sr Director of Software Engineering
Wilmington, DE · On-site
$150 - $200/hr
As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community ... You will be responsible to leading the integration of various model platforms and models that ...
Sr Director of Software Engineering
Wilmington, DE · On-site
$150 - $200/hr
As a Senior Director of Software Engineering at JPMorgan Chase within the Consumer and Community ... You will be responsible to leading the integration of various model platforms and models that ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Hands-on AWS AI and cloud engineering is a major asset because AIRP currently runs on AWS ... Implement model and application observability, including prompt logs, retrieval quality ...
Model Validation
Malvern, PA · On-site
You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...
Model Validation
Malvern, PA · On-site
You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...
You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...
You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...
You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...
You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...
Model Engineering information
See salary details
$10.34 - $15.49
18% of jobs
$16.94 is the 25th percentile. Wages below this are outliers.
$15.49 - $20.65
25% of jobs
$20.65 - $25.81
4% of jobs
The median wage is $27.96 / hr.
$25.81 - $30.97
6% of jobs
$30.97 - $36.12
21% of jobs
$36.31 is the 75th percentile. Wages above this are outliers.
$36.12 - $41.28
7% of jobs
$41.28 - $46.44
9% of jobs
$46.44 - $51.60
6% of jobs
$51.60 - $56.75
1% of jobs
$56.75 - $61.91
0% of jobs
$61.91 - $67.07
1% of jobs
$10
$31
$67
How much do model engineering jobs pay per hour?
What is model engineering?
What are the key skills and qualifications needed to thrive as a model engineer, and why are they important?
What are some typical challenges faced by model engineers when collaborating with cross-functional teams?
What is the difference between Model Engineering vs Mechanical Engineering?
| Aspect | Model Engineering | Mechanical Engineering |
|---|---|---|
| Credentials | Typically requires specialized training or certifications in model making and design | Requires a bachelor's degree or higher in mechanical engineering or related fields |
| Work Environment | Hobbyist workshops, small-scale manufacturing, or specialized model shops | Industrial facilities, engineering firms, manufacturing plants |
| Industry Usage | Used in hobbyist communities, model railroads, and small-scale prototypes | Applied across various industries including automotive, aerospace, and manufacturing |
Model Engineering focuses on creating detailed, small-scale models often as a hobby or for prototypes, requiring specialized skills and certifications. Mechanical Engineering covers a broad range of industrial applications, involving design, analysis, and manufacturing of mechanical systems. While both involve mechanical principles, Model Engineering is more specialized and hobby-oriented, whereas Mechanical Engineering is a comprehensive, industry-wide profession.
What does a model engineering do?
What states have the most Model Engineering jobs?
States with the most job openings for Model Engineering jobs include:
What job categories do people searching Model Engineering jobs look for?
The top searched job categories for Model Engineering jobs are:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 7 days ago
USAA rating
8.2
Based on 262 frontline employees who took The Breakroom Quiz
51st of 171 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
The Model Validation Program Owner will serve as a strategic leader responsible for shaping, governing, and continuously enhancing the enterprise Model Validation Program within a complex financial services environment. This individual combines deep quantitative expertise with strong program leadership capabilities to ensure model validation activities are effective, consistent, and aligned with regulatory expectations and business objectives. Leveraging extensive experience in model risk management, statistical analysis, and advanced analytics, the Program Owner will establish validation standards, design and implement processes and controls, and drive the development of policies, procedures, templates, job aids, and training materials that support a sustainable and scalable validation framework. The role requires strong technical proficiency across programming languages such as Python, R, SAS, and SQL, as well as hands-on knowledge of model testing techniques including benchmarking, back-testing, assumption testing, data quality assessments, and predictive modeling methodologies.
Success in this role depends on the ability to influence and collaborate across a diverse stakeholder landscape, including Model Governance, QA/QC, Reporting teams, model developers, model owners, business leaders, and internal audit partners. The ideal candidate has a proven track record of owning model validation program design decisions and driving implementation through effective communication, socialization, and change management efforts. They will champion operational excellence by establishing robust management routines, performance dashboards, report review processes, and key risk controls that ensure high-quality, timely validation outcomes. With a strong understanding of banking and/or insurance operations and broad expertise across advanced modeling techniques such as regression, forecasting, stress testing, machine learning, neural networks, simulation models, and Bayesian approaches, this leader serves as a trusted advisor and subject matter expert who helps strengthen model governance, improve risk oversight, and advance the overall maturity of the organization's Model Risk Management program.
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, Charlotte, NC, or Tampa, FL.
Relocation assistance is not available for this position.
What you'll do:
- Responsible for independently leading and overseeing significant Model Risk Management initiatives that impact the execution of the Model Risk Management program. Accountable for the delivery, quality control, and review of model validation reporting and key insights to executive leadership.
- Takes ownership of Model Validation program and processes, implementing changes through templates, job aids, procedures and training based on feedback from QA / QC, management, audit and industry best practices.
- Advises executive leadership on critical model matters that may impact the Association and/or key business decisions.
- Ensures strategic alignment with team and individual work deliverables. Proposes and implements model governance guidance to continue process improvement, efficiency, and consistency.
- Serves as a key advisor in the execution of the validation work and communicating with model stakeholders on validation results to drive appropriate model risk practices across the association.
- Responsible for mentoring and training Model Validators on new and emerging industry insights and changes and assists in training and development opportunities and supporting a strong model risk culture.
- Maintains subject matter expertise knowledge of model risk management by proactively researching and learning associated best-practices and modeling techniques.
- Participates and represents USAA in external industry and business groups aligned to risk management, statistical analysis, or the quantitative discipline.
What you have:
- Bachelor's Degree in Economics, Finance, Statistics, Mathematics or other relevant quantitative discipline or 4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
Experiences that will support your success:
- 10 years of progressive experience in Risk Management w/in the financial services industry to include 6 years experience in model validation, model development, statistical analysis, and/or advanced quantitative research. OR if Advanced degree in Economics, Finance, Statistics, Mathematics or other relevant quantitative discipline to risk management, 8 years relevant risk management work experience in the financial service industry to include 6 years experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
- Experience collaborating with key resources and stakeholders, influencing decisions, and managing work to achieve strategic goals.
- Strong 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.
- Subject Matter Depth and Breadth with at least four of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
- Strong business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge.
- Business and industry acumen in modeling governance techniques and approaches.
- Experience sharing modeling governance technical expertise and guidance with peers.
What sets you apart:
- Prior experience owning design decisions for Model Validation programs, including implementation through processes, procedures, templates, job aids, training, and socialization / change management.
- Experience collaborating with MRM Program teams (e.g., Model Governance, QA/QC, Information & Reporting) and key business and audit stakeholders across developers and owners / users to drive alignment and achieve strategic program goals.
- Demonstrated track record for ensuring quality, consistency, and timeliness of Model Validation operations, including management routines for review and approval of reports, design and effectiveness of key controls, and establishing management routines and dashboards to drive efficiency and operational rigor.
Compensation range: The salary range for this position is: $189,370 - $361,950.
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.
About USAA
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
San Antonio, TX, US
Year founded
1922