Principal Associate, Business Analysis

Capital One Capital One · Banking · Bangalore, IN

This role is for a Principal Associate, Business Analysis within the Customer Navigator team at Capital One. The team uses AI/ML to aggregate and analyze customer data to resolve complaints. The role involves strategic leadership, execution, and partnership to drive business strategy and identify opportunities to leverage AI/GenAI for customer issue resolution. It requires a strong quantitative orientation and understanding of Statistical/ML models, with a focus on translating business strategy into tangible products and outcomes.

What you'd actually do

  1. Strategic Leadership: Develop and own the business strategy that will drive growth, profitability, and competitive success for Capital One. Identify opportunities to leverage AI/GenAI to predict, understand, and resolve complaints before they escalate.
  2. Execution & Product Delivery: Manage the sequence and delivery of business intent. Translate complex data requirements into actionable product features.
  3. Enterprise Partnership: Work closely with colleagues across Capital One including: Tech, Lines of Business, and others to drive improvement in quality, volume, service, and profitability.
  4. Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, and understanding of Statistical / ML models.
  5. Strong business judgment, leadership and integrity: He/ she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business.

Skills

Required

  • Bachelor's Degree in a quantitative field (Statistics, Math, Engineering, Economics, Econometrics, Finance, or Operations Research)
  • At least 5 years of professional work experience in analytics, business analysis, or data-driven product management
  • Python
  • R
  • SQL
  • relational databases
  • financial services industry
  • cross-LOB operations or customer experience
  • model design
  • development
  • deployment
  • translating high-level business strategy and advanced analytics into tangible products and actionable outcomes
  • Excellent written and verbal communication skills

Nice to have

  • Proficiency in key econometric and statistical techniques

What the JD emphasized

  • understand and resolve customer friction
  • predict, understand, and resolve complaints
  • understanding of Statistical / ML models
  • translate complex data requirements into actionable product features
  • translate high-level business strategy and advanced analytics into tangible products and actionable outcomes

Other signals

  • Leverage AI/GenAI to predict, understand, and resolve complaints
  • aggregates massive amounts of fragmented enterprise data
  • mapping it into a seamless, chronological "journey format" for our agents
  • Layering advanced Artificial Intelligence and Machine Learning over this data