Description
Responsibilities :
Global Operations Resource Analytics team is looking for a motivated individual with a background in Industrial Engineering and / or Operations Research.
This individual will develop and implement volume forecasts, capacity plans, workforce schedules, conduct what-if scenarios and provide workable recommendations to key stakeholders.
The ideal candidate will have a keen eye for detail, experienced in modeling complex operational systems, with excellent communication skills.
The job offers an outstanding opportunity for a motivated individual to apply quantitative skills towards answering real-world business questions.
Key Responsibilities
- Develop and implement volume forecasts and capacity plans.
- Incorporate Operations Research methodologies - Discrete Event Simulation and Optimization in capacity planning.
- Develop and assemble insights through data mining using SQL.
- Identify and implement productivity improvement opportunities through work measurement.
- Automate mundane tasks using Python and / or Microsoft VBA
- Interact with key stakeholders to present forecasts, Capacity Plans, and convey recommendations.
Required Skills :
- A degree, preferably a Graduate Degree in Industrial Engineering and / or Operations Research.
- 1-2 years of demonstrated experience in modeling complex systems.
- Well-versed inDiscrete Event Simulation modeling using Arena or similar software.Optimization modeling using Excel Solver or Gurobi andForecasting using SAS or similar software.
- Experienced in mining data using SQL and automating tasks using Python / Microsoft VBA
- Proficient in assembling insightful presentations using MS PowerPoint
- Innate intellectual curiosity with strong aptitude for developing workable solutions.
- Strong communication skills including the ability to perceptively convey complex ideas concisely to key stakeholders.
Desired Skills :
Master’s degree in Industrial Engineering and / or Operations Research
Prior capacity or financial planning / modeling experience
Data mining experience using SQL / SAS-SQL
Proficient in Arena or similar discrete event simulation software
Proficient in Excel Solver and VBA
Experience with SAS and Python
Prior Banking industry analytics and modeling experience, specifically with developing capacity or resource optimization models that adhere to standards set by a risk management governing body
Shift :
1st shift (United States of America)
Hours Per Week :
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