Quantitative Trader

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities Develop and maintain volume forecasting, capacity planning, and resource optimization models Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques Assist in driving volume and capacity modeling consistency and innovation across the team Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes Conduct routine model production and performance presentations with executive leadership Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines Required Skills Bachelor’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field 2+ years of experience in quantitative roles modeling complex systems Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience Proficient in MS Office, particularly Excel Experience with SAS, Python, R, or similar statistical software Experience with Arena or similar discrete event simulation software Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration Strong communication and interpersonal skills – specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders Natural curiosity and drive to answer important business questions High aptitude for self‑motivation and self‑determined project work in a fast‑paced and rapidly changing environment Desired Skills Master’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field Prior operational volume forecasting, capacity planning, or financial planning experience Experience with Tableau or other data visualization software Data mining experience using SQL/SAS querying Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body Shift & Hours Shift: 1st shift (United States of America) Hours Per Week: 40 Pay & Benefits Pay range: $84,600.00 - $132,000.00 annualized salary, offers to be determined based on experience, education, and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan. Benefits: This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. #J-18808-Ljbffr