Operations Research Scientist

3 weeks ago

Mumbai, India JPMorgan Chase & Co. Full time
The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chase’s call centers, back office, and ~5,200 retail branches.Projects engaged by the Operations Research (OR) team can be complex, intensive, and of a high level of difficulty, each having significant impact on the business. Typically, these problems will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem-solving strategy. You will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. The

OR

team is tasked with building next-gen operations research solutions that are prescriptive and assist in decision making.Job ResponsibilitiesDesign 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 skillsMaster’s Degree with 6+ years or Doctorate (PhD) with 4+ 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, .Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.Preferred qualifications, capabilities and skillsAdvanced 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.

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