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Model Predictive Control Jobs in Louisiana (NOW HIRING)

... and predictive modeling across the organization. Working in close partnership with actuarial ... Establish governance, documentation, and control standards for actuarial models and analytical ...

Lead IT Project Manager

Iowa, LA · Hybrid

$140K - $170K/yr

... models, pipelines). * Coordinate adjacent workstreams (program lens): manage cross-project ... Control project fundamentals: schedule, scope, budget/forecast (CapEx/OpEx), vendor/SOW management ...

Lead Electrician

Dodson, LA

$23.25 - $30.25/hr

Foster a strong safety culture and reinforce safe behaviors in the field Serve as a role model for ... predictive, and corrective maintenance work Support development and implementation of proactive ...

... Control / Data Management (CME), Cyber Engineering (CYB), Cyber Engineering (CYE), Cyber ... readiness (predictive maintenance and supplychain resilience); risk, compliance, and mission ...

Lead Electrician

Dodson, LA · On-site

$23.25 - $30.25/hr

Foster a strong safety culture and reinforce safe behaviors in the field • Serve as a role model ... of preventive, predictive, and corrective maintenance work • Support development and ...

Database Architect

New Orleans, LA · On-site

$61.25 - $78.75/hr

... modeling, and enterprise integration patterns. • Experience working collaboratively with both ... and source control practices. • Experience with label development or enterprise labeling ...

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Model Predictive Control information

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 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 are the typical challenges faced by engineers working with Model Predictive Control (MPC) 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 (MPC) 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 are popular job titles related to Model Predictive Control jobs in Louisiana? For Model Predictive Control jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Louisiana look for? The top searched job categories for Model Predictive Control jobs in Louisiana are:
What cities in Louisiana are hiring for Model Predictive Control jobs? Cities in Louisiana with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Louisiana as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution.

AVP, Actuarial Operations

The Mutual Group

Iowa, LA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Department:

Actuarial

Job Description:

The Assistant Vice President, Actuarial Operations will lead the development and evolution of the actuarial operating environment supporting pricing, reserving, and enterprise analytics. This role is responsible for establishing scalable actuarial infrastructure, modernizing actuarial workflows, and enabling the effective use of advanced analytics and predictive modeling across the organization.

Working in close partnership with actuarial Pricing and Reserving leadership, this role will ensure actuarial processes are efficient, well-controlled, and production ready. The AVP will drive the design and implementation of repeatable analytical frameworks, automated workflows, and production environments that support actuarial decision-making at scale.

This leader will play a key role in shaping the long-term direction of actuarial operations by building the capabilities, platforms, and processes needed to support a growing insurance organization. Through modernization of actuarial infrastructure and the deployment of advanced analytics capabilities, this role will enable actuarial teams to operate more efficiently while strengthening how analytics informs business strategy and outcomes.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Actuarial Platform, Infrastructure and Modernization: Lead the development and governance of the actuarial analytics platform that supports pricing, reserving, and enterprise actuarial analytics.

  • Define and evolve the long-term architecture of the actuarial analytics environment to support scalable modeling, automation, and advanced analytical capabilities across the enterprise actuarial function.

  • Manage actuarial technology platforms and modeling environments, including Python, R, actuarial software, and related analytics tools.

  • Collaborate with Data Governance teams to align actuarial processes with enterprise data standards and architecture.

  • Establish governance, documentation, and control standards for actuarial models and analytical production workflows.

  • Own the production and delivery of management reporting across the enterprise.

Actuarial Process Automation & Operational Excellence: Modernize actuarial workflows through automation, standardized tooling, and scalable analytical processes.

  • Build and maintain scalable actuarial tools, models, and automation frameworks with appropriate documentation and controls.

  • Design repeatable analytical workflows that improve the efficiency, reliability, and scalability of actuarial processes.

  • Establish operational standards and best practices that support consistent actuarial analysis and model execution.

  • Foster a culture of continuous improvement and operational excellence within the actuarial function.

Analytics Enablement & Model Deployment: Enable the effective use of advanced analytics and predictive modeling within actuarial workflows and business decision-making.

  • Develop and deploy underwriting, claim, and other functional predictive models and analytical tools into actuarial workflows.

  • Ensure analytical models are implemented in scalable, controlled production environments.

  • Partner with pricing, reserving, and analytics teams to operationalize advanced analytical capabilities.

Leadership & Actuarial Capability Development: Lead and develop the team responsible for actuarial operations, automation, and analytical infrastructure.

  • Attract, recruit, lead, retain, and develop a team of actuarial analysts and analytics engineers focused on process automation and actuarial tooling.

  • Build actuarial operational capabilities that enable actuarial teams to deliver greater analytical insight and support data-driven business decisions.

  • Establish priorities and execution plans that align actuarial operational capabilities with organizational needs.

  • Promote strong collaboration across actuarial, data, and technology teams.

Qualifications:

  • FCAS and 10+ years of actuarial experience in property & casualty insurance

  • Strong technical experience with actuarial processes such as pricing analyses, reserving workflows, or portfolio monitoring

  • Demonstrated experience leading analytical, actuarial, or technical teams

  • Experience programming in Python, R, or similar analytical languages

  • Experience designing or implementing scalable actuarial or analytical production environments

  • Demonstrated ability to translate actuarial needs into automated, scalable analytical workflows

  • Experience working with large datasets, data warehouses, or modern analytical data platforms

  • Experience developing, maintaining, and deploying predictive models or analytics tools into production environments

  • Experience working with actuarial software platforms and analytical modeling environments

  • Strong communication and collaboration skills

Pay Range:

Anticipated Hiring Range:

  • $180,000 - $240,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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