Quantitative Operations Associate – Volume Forecaster

Jobtailor; Arizona; On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor in Arizona seeks a Predictive Modeling Analyst to develop and maintain statistical models for forecasting volume and capacity planning in the banking domain.

You will collaborate with Front-Line Units, present findings to executives, and ensure model risk guidelines are followed while driving efficiency and innovation across the team.

Qualifications

• Master's degree in Mathematics, Statistics, Analytics or STEM field, or equivalent experience.
• 2+ years in quantitative roles supporting complex functions.
• Fundamental understanding of linear regression and time-series analysis.
• Experience with SAS, Python, or R.
• Strong communication and collaboration skills.
• 2+ years as a predictive modeling analyst (desired).
• Banking analytics and risk-management experience (desired).
• SQL data mining experience (desired).
• Tableau or data visualization experience (desired).
• Ability to coach others (desired).

Responsibilities

• Develop and maintain models for forecasting volume, capacity plans, and vendor models.
• Develop time-series models using advanced forecasting techniques.
• Partner with Front-Line Units to ensure model accuracy.
• Present model findings to executive leadership and stakeholders.
• Support model monitoring to adhere to Model Risk Management guidelines.
• Drive forecast consistency and innovation across the team.
• Promote horizontal consistency in model development across peer groups.
• Improve forecasting performance and efficiency.
• Apply statistical models and BI to maintain strategic volume forecasts for capacity planning.

Skills

Statistical modeling

Time-series analysis

SQL

Python

R

Tableau

Education

Master's degree in Mathematics/Statistics/Analytics

Tools

SAS

Copilot

Excel

Job description

• Develop and maintain models for the line of business, including volume forecasts, capacity plans, and vendor models
• Develop and maintain time-series models using advanced algorithm-based forecasting techniques
• Partner routinely with Front-Line Units to ensure model accuracy
• Present model production and performance findings to executive leadership and key stakeholders
• Support ongoing model monitoring to adhere to Model Risk Management guidelines
• Drive forecast consistency and innovation across the team
• Drive horizontal consistency in model development and usage across peer groups
• Improve forecasting performance and efficiency
• Apply statistical models and business intelligence to maintain strategic volume forecasts for capacity planning

Requirements

• Master's degree in Mathematics, Statistics, Applied Economics, Analytics, Data Science, or another STEM field; or equivalent experience
• 2+ years of experience in quantitative roles supporting complex functions
• Fundamental understanding and experience with linear regression, time-series, and other statistical modeling techniques
• Proficient in MS Office, particularly Excel and Copilot
• Experience with SAS, Python, or R
• Ability to work in a team-oriented environment with strong problem-solving and collaboration aptitude
• Strong communication and interpersonal skills, including communicating complex ideas clearly and concisely to key stakeholders
• Natural curiosity and drive to answer important business questions
• 2+ years of experience as a professional predictive modeling analyst (desired)
• Prior banking industry analytics and modeling experience with risk-management standards (desired)
• Data mining experience using SQL (desired)
• Experience with Tableau or other data visualization (desired)
• Ability to coach others (desired)

Core Competencies

Demonstrates expertise in developing and maintaining statistical models for forecasting and capacity planning, with a strong foundation in linear regression and time-series analysis. Proficient in utilizing advanced analytics tools and techniques to drive model accuracy and performance in a collaborative environment.

Highest-signal resume keywords

• Statistical Modeling Techniques
• Predictive Modeling Analysis
• Data Visualization with Tableau
• Experience with SAS, Python, or R
• Master's Degree in Mathematics, Statistics, or Related Field

ATS Optimization Keywords

Hard Skills

• Linear Regression
• Time-Series Analysis
• Statistical Modeling
• Data Mining with SQL
• Forecasting Techniques

Soft Skills

• Strong Communication Skills
• Problem-Solving Aptitude
• Collaboration Skills
• Natural Curiosity

Industry Keywords

• Model Risk Management
• Banking Industry Analytics
• Capacity Planning
• Vendor Models

Tools & Technologies

• MS Office
• Excel
• Copilot
• SAS
• Python
• R
• Tableau