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Capital One · 5 hours ago

Manager, Talent Assessment

New York, NY

Full-time

Onsite

Mid, Senior Level

$158K/yr - $181K/yr

4+ years exp

Capital One is a financial services company seeking a Manager on the Talent Assessment team. The role involves designing and delivering selection strategies to secure outstanding and diverse talent, while collaborating with HR partners and business leaders to improve the candidate experience and implement assessment tools.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

Responsibilities

Effectively and independently building alignment on decisions within a project while developing a 'trusted partner' relationship with senior HR leaders and partners

Communicating results of statistical analyses, along with their implications, to technical and non-technical audiences in order to drive significant decisions

Leading the design, development, validation, testing, and implementation of practical, effective, defensible, and candidate-friendly products and selection tools and processes

Mentoring or coaching team members to improve interaction models and build trust

Overseeing the development and maintenance of large data sets for analyses on various selection and assessment programs

Independently completing large-scale and complex validation studies

Serving as an analyst for selection tool evaluation and reporting, including business impact analyses for selection solutions and programs

Qualification

Talent assessmentData analysisStatistical modelingConsultingPythonCross-functional teamworkVisualization skillsCommunication skillsProblem solvingOrganizational skills

Required

Master's Degree

At least 4 years of experience in talent assessment, talent development, or talent management

At least 3 years of employee selection and assessment work experience

At least 3 years of experience in consulting

At least 2 years of data analysis experience, conducting analyses, and building statistical models in R, Python, or SQL

Preferred

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

Proficient in Python

Knowledge of advanced statistical methodologies, including regression, longitudinal analysis, or Bayesian modeling

Experience working in cross-functional teams to push enterprise-level selection projects through to completion

Proficient in using Google Suite products or similar programs