Business Manager

Capital One Capital One · Banking · Bangalore, IN

This Business Manager role at Capital One focuses on bridging business strategy with data science and engineering to drive business forward using ML and GenAI. The role involves developing business strategies, managing delivery of business intent, partnering with various teams, and making data-driven decisions. While not directly building AI models, the role is deeply involved in leveraging AI/ML technologies to automate workflows and improve customer experience within the financial services domain.

What you'd actually do

  1. Develop business strategies that will drive growth, profitability, and competitive success for Capital One in the face of shifting consumer and regulatory demands.
  2. Manage and sequence delivery of business intent, build business requirements and execute against the product strategy.
  3. Work closely with colleagues across Capital One including: Tech, Model Risk, Lines of Business, and others to drive improvement in quality, volume, service, and profitability.
  4. A proven track record of decision making and problem solving based on analytics.
  5. May manage and develop analysts. Coaching and mentoring associates with a goal of developing and retaining talent at Capital One.

Skills

Required

  • Bachelor's Degree in statistics, math, engineering, economics, econometrics, finance, or operations research with a quantitative focus.
  • At least 5 years work experience in analytics.
  • Strong analytical skills with high attention to detail and accuracy.
  • Excellent written and verbal communication skills.
  • Experience translating business strategy and analysis into products and actionable outcomes for business.

Nice to have

  • 3+ years experience with R or Python, relational databases , SQL.
  • 1+ years people management experience.
  • Experience in financial services industry.
  • Proficiency in key econometric and statistical techniques, model design, development and deployment experience.

What the JD emphasized

  • understand new domains and processes in detail
  • understanding of Statistical / ML models
  • Strong executive communication skills
  • Clear results orientation
  • Quantitative and ML/Statistically-minded
  • comfortable with ambiguity
  • close attention to detail