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Model Predictive Control Jobs in Riverview, FL (NOW HIRING)

As a Data Science Consultant 2, you will develop predictive models, ensure data readiness, and ... version control systems (Git). • Awareness of AI compliance, data privacy, and responsible AI ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... predictive analytics or data analysis. * 4 years of experience in training and validating ...

Maintain quality control standards and procedures for accurate and precise measurements ... math principles, predictive models, spreadsheets, and tools. * Strong interpersonal and ...

Maintain quality control standards and procedures for accurate and precise measurements ... math principles, predictive models, spreadsheets, and tools. * Strong interpersonal and ...

... * Proficiency with technical writing, office automation, software, technology, math principles, predictive models, spreadsheets, and tools. * Adept at coordinating technical matters with public and ...

... * Proficiency with technical writing, office automation, software, technology, math principles, predictive models, spreadsheets, and tools. * Adept at coordinating technical matters with public and ...

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Model Predictive Control information

See Riverview, FL salary details

$49.1K

$86.1K

$116.8K

How much do model predictive control jobs pay per year?

As of Aug 21, 2026, the average yearly pay for model predictive control in Riverview, FL is $86,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $96,300.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What cities near Riverview, FL are hiring for Model Predictive Control jobs?

Cities near Riverview, FL with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Riverview, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,135 per year, or $41.4 per hour.

Model Validator Principal - Model Validation Program Owner

USAA

Tampa, FL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

50th 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.


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