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Model Predictive Control Jobs in Pennsylvania (NOW HIRING)

Experience with actuarial pricing, reserving, or predictive modeling * Familiarity with modern data tools: version control (Git), cloud platforms, BI tools (Power BI, Tableau), or notebook ...

... and predictive modeling techniques to build, maintain, and improve multiple real-time decision ... control management • Experience working in a product organization • Experience analyzing ...

... modeling, predictive tools, and data visualization platforms. * Ensures analytical methods follow ... quality control laboratory setting. * Familiarity with a broad range of analytical techniques ...

Senior Analytical Scientist

Harleysville, PA · On-site

$88K - $120K/yr

... modeling, predictive tools, and data visualization platforms. * Ensures analytical methods follow ... quality control laboratory setting. * Familiarity with a broad range of analytical techniques ...

Building and deploying predictive models in support of our pricing strategy will be a focus area ... control. o Ability to communicate effectively to both technical and non-technical audiences in ...

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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.
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What job categories do people searching Model Predictive Control jobs in Pennsylvania look for? The top searched job categories for Model Predictive Control jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Model Predictive Control jobs? Cities in Pennsylvania with the most Model Predictive Control job openings:

Specialist, Loans Modeling and Analytics -Structured Debt/CLO

BNY

Pittsburgh, PA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Specialist, Loans Modeling and Analytics (Structured Debt/CLO)

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We're seeking a future team member for the role of Specialist, Loans Modeling and Analytics to join our Corporate Trust Analytics team. In this critical role, you will leverage your expertise in debt markets and quantitative modeling to drive accuracy, efficiency, and actionable insights across model and investor report development for CLO and loan products. This role is located out of our Houston, TX or Pittsburgh, PA office.

In this role, you'll make an impact in the following ways: 

  • Develop, maintain, QC, and enhance CLO compliance and waterfall models, including detailed analysis of coverage tests, collateral quality tests, concentration limits, payment structures, and cash flow mechanics to ensure adherence to indenture provisions.
  • Analyze and interpret complex legal documents such as CLO indentures, offering memoranda, and related transaction documents, providing comments around modeling and analytical matters.
  • Build and analyze investor reports and dashboards that detail compliance tests, noteholder distributions, asset-level information, and other key metrics, enabling timely and transparent communication with stakeholders.
  • Utilize quantitative modeling techniques and predictive analytics to calculate and assess CLO portfolio performance, risk exposures, and stress test under various scenarios.
  • Work with internal teams, client reference data, and other external data providers to integrate and validate datasets, ensuring high data integrity for model inputs and outputs.
  • Perform statistical and trend analyses to identify model discrepancies, optimize performance, and implement enhancements to address issues in alignment with evolving market conditions and transaction structures.
  • Collaborate with cross-functional teams to align on transaction requirements and support ad hoc reporting and analytics requests.
  • Champion continuous improvement and data-driven innovation by identifying opportunities for automation and efficiency and supporting strategic initiatives aimed at enhancing team capabilities.
     

To be successful in this role, we're seeking the following: 

  • Bachelor's degree in Finance, Economics, Mathematics, Financial Engineering, Data Science, Computer Science, or related quantitative discipline or the equivalent combination of education and experience.
  • 2-3 years of experience in financial data analysis, structured finance, corporate trust, CLOs, leveraged loans, or related products with a strong focus on quantitative modeling and analytics.
  • Basic understanding of CLO products and transaction types such as new issue, refinancings, and resets and familiarity with related concepts.
  • Beginner proficiency in programming languages such as VBA, Python, R, and/or SQL for coding payment and compliance rules, automating workflows, and building robust analytical tools with strong desire for further development.
  • Experience in quantitative finance and technology preferred with advanced skills in MS Excel (including macros, advanced functions, and data manipulation), SharePoint, Alteryx, Power BI, or other platforms to develop dynamic reports, analytics, and visualizations.
  • Strong analytical mindset and problem-solving skills with demonstrated ability to apply quantitative techniques and predictive analytics to structured credit products.
  • Strategic thinker with excellent communication skills and the ability to translate complex concepts into clear insights for diverse audiences.
  • Maintain a high level of accuracy and attention to detail to ensure the integrity of financial models and reports.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

 Here's a few of our recent awards:

  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

    BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. 

    Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.