Principal Associate, Talent Assessment

Overview

As a Talent Assessment team member, you’ll be part of Capital One’s People Analytics organization working closely with Talent Acquisition partners and other I/O Psychologists to design and deliver innovative selection strategies to support our shared business goals. With an emphasis on quantitative and qualitative analysis, you’ll support the design, validation, and implementation of assessment tools and processes to help ensure Capital One secures outstanding and diverse talent across our enterprise.

Responsibilities

• Developing and maintaining large data sets for analyses on various selection and assessment programs
• Serving as an analyst for selection tool evaluation and reporting, including business impact analyses for selection solutions and programs
• Communicating results of statistical analyses, along with their implications, to technical and non-technical audiences
• Participating in the design, development, validation, testing, and implementation of practical, effective, defensible, and candidate-friendly products and selection tools and processes

Qualifications

• Master's degree
• At least 2 years of employee selection and assessment work experience
• At least 2 years of data analysis experience conducting analyses, and building statistical models in R, Python, or SQL
• At least 2 years of experience in consulting with external or internal clients across a variety of seniority levels and technical experience

Preferred Qualifications

• PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or quantitative discipline, including but not limited to Cognitive Science, Neuroscience, Economics, Behavioral Economics, Mathematics, Physics, Biology, Chemistry or Statistics
• At least 3 years professional work experience
• At least 3 years of employee selection experience
• Proficient in Python
• Knowledge of a variety of employee assessments and methods
• Knowledge of advanced statistical methodologies, including regression, longitudinal analysis, and/or Bayesian modeling
• Proficient in using Google Suite products or similar programs