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How much do cplex optimization jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for cplex optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is a Cplex Optimization job?

A CPLEX Optimization job involves using IBM's CPLEX solver to model and solve complex mathematical optimization problems. Professionals in this role typically work with linear programming (LP), mixed-integer programming (MIP), and constraint programming to optimize processes in industries like logistics, finance, and manufacturing. They use programming languages such as Python, Java, or C++ to implement optimization models and improve decision-making efficiency. Strong analytical skills and knowledge in operations research, mathematics, and software development are essential for success in this role.

What are the typical daily responsibilities of someone working in Cplex Optimization?

Professionals specializing in Cplex Optimization typically spend their days formulating mathematical models, implementing optimization algorithms, and running simulations to solve complex business problems. They collaborate closely with data scientists, engineers, and business analysts to define project goals and refine model requirements. Regular tasks include debugging code, interpreting optimization results, and presenting actionable insights to stakeholders. This role often involves iterative problem-solving and requires keeping up with the latest advances in optimization techniques.

What are the key skills and qualifications needed to thrive in the Cplex Optimization position, and why are they important?

To excel in a Cplex Optimization role, a solid background in operations research, mathematical modeling, and advanced problem-solving is generally required, often supported by a degree in mathematics, engineering, or computer science. Proficiency with IBM ILOG CPLEX Optimizer, optimization libraries, and programming languages such as Python, Java, or C++ is essential, with relevant certifications in analytics or optimization being advantageous. Strong analytical thinking, communication skills, and the ability to collaborate effectively with multidisciplinary teams help professionals stand out. Mastery of these skills ensures the development of efficient, scalable optimization models that address complex, real-world business challenges.

More about Cplex Optimization jobs
What are the most commonly searched types of Cplex Optimization jobs? The most popular types of Cplex Optimization jobs are:
Infographic showing various Cplex Optimization job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Quantitative Researcher, Portfolio Optimization

Fidelity Investments

Merrimack, NH

$100K - $200K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 139 rated financial services


Job description

Job Description:

The Role

As an integral part of the Quantitative Research and Investing (QRI) group, the portfolio optimization team is responsible for research into mathematical techniques to improve the performance, net of taxes, of client portfolios and funds.

As a part of the optimization team and working closely with investment and technology teams, you will design novel mathematical approaches to solve difficult portfolio optimization problems efficiently and reliably. You will work closely with research teams to understand the breadth and scope of their optimization problems, to correctly model them in a research environment. Using your experience, you will deliver heuristics and reformulations which allow solvers to quickly converge to optimal solutions for specific classes of such problems, for both taxable and non-taxable portfolios. While your role will be focused on research, you will partner with team members to direct the implementation of your findings in the portfolio optimization system.

The Expertise and Skills You Bring:

  • A Master's degree or higher in computer science, engineering, or mathematics, with extensive coursework in optimization.

  • 5+ years in portfolio optimization-focused roles, researching the algorithms and mathematics that support optimization, with direct experience using general purpose solvers (Gurobi, CPLEX) or proprietary solvers (e.g. conic).

  • Demonstrable track record delivering mathematical solutions to common portfolio optimization challenges, including Integer Programming, using linear algebra, and implementing heuristics for more efficient integer solutions.

  • Deep understanding of portfolio construction for taxable mandates and efficient heuristics and approximation algorithms for this problem class.

  • Substantial exposure to mathematical techniques specific to portfolio optimization which take advantage of the structure of portfolios, risk, and tax to find optimal solutions efficiently.

  • Track record delivering optimization solutions for clients in financial services with direct experience working with clients, synthesizing their high-level needs with implementation in mathematics and working prototypes.

  • Proven ability to take a research question from inception to a positive outcome independently, with appropriate scientific rigor. Sufficient fluency in technologies and tools to work independently.

  • A consistent record of architecting sophisticated mathematical solutions to work efficiently and reliably in critical applications. Ability to recognize business risk and surface it to key decision-makers.

  • Collaborative approach and ability to work with partners with different skills and expertise to deliver complex, reliable, scalable solutions to portfolio optimization problems.

The Value You Deliver:

  • Improve numerical stability and efficiency of portfolio optimization algorithms that work at scale, across large numbers of diverse portfolios.

  • Design and validate heuristics and problem reformulations to solve complex optimization problems for taxable portfolios which otherwise don't solve to optimality.

  • Independently deliver mathematical solutions and provide guidance to the team responsible for implementing them.

  • Research novel algorithms to support new and expanded capabilities and specific needs of clients.

  • Partner with team members to evolve your algorithms when faced with new client portfolios that don't solve or where solutions are unstable.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $100,000 - $200,000 per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.


We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Investment Professionals

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