Senior Business Analyst - Enterprise Arbitration Team

Senior Business Analyst - Enterprise Arbitration Team

Capital One has more to offer customers in digital experiences than ever. Personalizing each customer’s experience requires a real-time platform capable of modeling relevance and measuring value generation for both the customer and the business. The Enterprise Arbitration team will define and execute a strategy to improve current arbitration use cases and implement new instances where most valuable. This team will build strong working relationships with all major lines of business, create robust value measurement frameworks, and partner with Product Management and Data Science to bring new functionality to market.

This represents a unique moment in time for Enterprise Arbitration efforts at Capital One. It has been included as a top priority in the strategic imperatives for the year centered on building a destination marketing platform. The mission is to uplevel and expand Enterprise Arbitration to all digital experiences and messaging channels that need it.

Summary:

As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

General Responsibilities:

• Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations

• Product: Perform modeling/analytics to assist new product and pricing strategies for various lending products

• Marketing: Support direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Help build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go to market strategies

• Credit Risk: Support step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis

• Execution: Involve problem frame-works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan

• Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability

• 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, given that a large part of the business is based on rigorous analytic marketing & credit risk management

• Strong business judgment, leadership and integrity: Should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business

• Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills

• Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment

• Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus

Basic Qualifications:

• Bachelor’s Degree in any quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)

• At least 1 year of experience in analysis

Preferred Qualifications:

• Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering

• 1+ years of experience in Statistical