Quantitative Operations Associate

Jobtailor; Arizona; On-site; USD 120,000 - 150,000; Full time

Job summary

Jobtailor in the United States (Arizona) seeks a seasoned model engineer to develop and maintain volume forecasting models, capacity plans, and vendor models. You will drive cross-team consistency and present performance to executive leadership, while ensuring strict adherence to Model Risk Management standards.

Responsibilities include ongoing model monitoring, scenario analysis, and translating complex findings into practical, data-driven recommendations for decision-makers.

Qualifications

• Master’s degree in industrial engineering, operations research, or related STEM field.
• Proficiency with Microsoft Excel, PowerPoint, and VBA.
• Experience querying databases using SQL.
• Experience developing discrete-event simulation and optimization models.
• Experience using GitHub Copilot to accelerate model development and heuristics.
• Strong problem-solving and collaboration skills.
• Ability to apply quantitative methods to business problems.
• Ability to work through ambiguity, complexity, and change.
• Excellent written and verbal communication skills.
• Experience in capacity planning, financial planning, or quantitative modeling.
• Proficiency with Arena or comparable DES software.
• Proficiency with Gurobi or comparable optimization software.
• Experience with Python, SAS, SQL, and data mining.
• Banking analytics and modeling experience, particularly in volume forecasting and capacity optimization.
• Experience developing models under model risk management standards and governance requirements.
• Knowledge of linear regression, time-series analysis, and other statistical modeling techniques.

Responsibilities

• Develop and maintain models for volume forecasts, capacity plans, and vendor models.
• Drive horizontal consistency in model development and usage across peer groups.
• Conduct routine model production and performance presentations with executive leadership.
• Ensure adherence to Model Risk Management (MRM) requirements.
• Support ongoing model monitoring to improve forecasting performance and efficiency.
• Develop and implement models for volume forecasting, capacity planning, workforce scheduling, scenario analysis, and reporting.
• Apply advanced analytical methods to real-world business challenges.
• Translate analytical findings into practical, data-driven recommendations.

Skills

VBA

SQL

Python

SAS

Time-series analysis

Linear regression

Discretionary modeling

Quantitative modeling

Data mining

Communication

Problem-solving

Collaboration

Education

Master’s degree in industrial engineering, operations research, or a related STEM field

Tools

Arena DES software

Gurobi optimizer

GitHub Copilot

Job description

• Develop and maintain models for the line of business, including volume forecasts, capacity plans, and vendor models
• Drive horizontal consistency in model development and usage across peer groups
• Conduct routine model production and performance presentations with executive leadership
• Ensure adherence to Model Risk Management (MRM) requirements
• Support ongoing model monitoring to improve forecasting performance and efficiency
• Develop and implement models for volume forecasting, capacity planning, workforce scheduling, scenario analysis, and operational performance reporting
• Apply advanced analytical methods to real-world business challenges
• Translate analytical findings into practical, data-driven recommendations

Requirements

• Master’s degree in industrial engineering, operations research, or a related STEM field
• Proficiency with Microsoft Excel, PowerPoint, and VBA
• Experience querying databases using SQL
• Experience developing and implementing discrete-event simulation and optimization models
• Experience using GitHub Copilot to accelerate model development and formulate heuristics
• Strong problem-solving and collaboration skills
• Demonstrated ability to apply quantitative methods to business problems
• Ability to work effectively through ambiguity, complexity, and change
• Excellent written and verbal communication skills
• Experience in capacity planning, financial planning, or quantitative modeling
• Proficiency with Arena or comparable discrete-event simulation software
• Proficiency with Gurobi or comparable optimization software
• Experience with Python, SAS, SQL, and data mining
• Banking analytics and modeling experience, particularly in volume forecasting and capacity or resource optimization
• Experience developing models under model risk management standards and governance requirements
• Knowledge of linear regression, time-series analysis, and other statistical modeling techniques

Core Competencies

Demonstrates expertise in developing and maintaining advanced models for volume forecasting, capacity planning, and operational performance reporting, while ensuring compliance with Model Risk Management standards. Proficient in applying quantitative methods and advanced analytical techniques to drive data-driven business recommendations.

Highest-signal resume keywords

• Master’s Degree In Industrial Engineering
• Proficiency With Microsoft Excel
• Experience With SQL
• Proficiency With Arena Or Comparable Discrete-Event Simulation Software
• Experience Developing Models Under Model Risk Management Standards

Hard Skills

• Volume Forecasting
• Capacity Planning
• Discrete-Event Simulation
• Optimization Models
• Quantitative Modeling
• Statistical Modeling Techniques
• Data Mining
• Linear Regression
• Time-Series Analysis
• Heuristics Formulation

Soft Skills

• Problem-Solving
• Collaboration
• Communication

Industry Keywords

• Model Risk Management
• Banking Analytics
• Operational Performance Reporting
• Scenario Analysis
• Workforce Scheduling

Tools & Technologies

• VBA
• GitHub Copilot
• Gurobi
• Python
• SAS