Quantitative Modeler - Operations Research

JP Morgan Chase - Columbus, OH

The Performance Consulting organization is responsible for leading critical, strategic efforts throughout the business with the ultimate goal of improving both operating and financial performance. The Operations Research and Data Science (ORDS) organization, which is part of Performance Consulting, leads and executes transformational advanced analytics, data science, and machine learning projects in Operations across Consumer and Community Banking.

As part of the ORDS organization, the Quantitative Modeler will leverage a variety of analytical methods and tools to build models and identify, analyze, and drive improvement opportunities within CCB operations business units. Interested individuals should possess strong analytical, communication, project management, and interpersonal skills. In addition, candidates should be adept at building relationships with clients, excel at presenting analytical insights in an interesting and insightful way, and generating business value as an outcome of work product.

Our organization is highly collaborative, bringing together individuals with diverse backgrounds and experiences to solve complex business problems. We are deeply committed to fostering an environment devoted to continuous learning, and are focused on building solutions which deliver business value. If you are passionate about working on challenging advanced analytics, modeling, or data science problems, this is an ideal opportunity.


Modeling and Analytics

Leverage a wide range of quantitative methods to analyze complex, multi-faceted business problems
Perform the required data processing, exploration, and analysis to verify the problem statement and the applicability of proposed solutions
Develop the required code/logic to enable analysis and data manipulation to be repeatedly leveraged for decision making
Build and deploy prototype solutions to demonstrate ideas and prove concepts

Client and Engagement Management

Perform assessments of the business to clearly define a problem statement and formulate an initial solution strategy
Clearly define the scope of the proposed analytical work and achieve agreement with the sponsor
Actively manage the timely completion of all engagement milestones and tasks
Proactively communicate with the sponsor, key stakeholders, and subject matter experts throughout the engagement as appropriate
Deliver quantifiable and documented business value for the work performed
Foster strong relationships with key stakeholders via a consultative approach; become a trusted advisor
Bachelor's or Master's Degree in a quantitative field
3+ years working on complex, highly-visible analytical projects in a large-scale, corporate environment
Outstanding critical thinking and problem solving skills; adept at navigating an ambiguous, semi-structured work environment
Practical experience with and theoretical knowledge of simulation modeling and optimization techniques such as discrete event simulation, queuing systems, Monte Carlo methods, bootstrapping, stochastic processes, Markov chains, and linear programming
Proficiency in SAS, SAS/OR, SQL and Python; Advanced Microsoft Excel user; knowledge of Tableau a plus
Experience managing and processing large, unstructured data; familiarity with data warehousing and transformation tools and processes with exposure to multiple database technology implementations
Awareness of and exposure to software development life cycle (SDLC) principles, including environmental migration and deployment, system design and architecture, and testing/validation principles
Superior ability to structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights and develop solutions
Client management skills - Able to closely partner with senior leaders, supervisors, front line employees and other stakeholders on projects
Project management skills – Able to frame projects and establish required governance to move projects forward. Project Management Professional (PMP) certification and management consulting experience a plus
Self-starter mentality with the ability to delegate/collaborate with others
Excellent communication, presentation, and influencing skills
Deep curiosity, creativity, and imagination; continuous learner