Operations Research Scientist

Worforce Planning - Operations Research Scientist - Associate Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities: Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required qualifications, capabilities and skills: Master’s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc.). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred qualifications, capabilities and skills: Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Experience Level Mid Level