You are a strategic thinker passionate about driving solutions in Cards Analytics. You have found the right team.

As a Cards Finance Analytics - Vice President in our Finance team, you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities 

Lead and manage a high-performing team of 12 credit card professionals with diverse skillsets, fostering a collaborative and results-oriented environment. Help create and standardize a consistent valuation framework for acquisition marketing campaigns across Card  Develop and execute strategic initiatives to achieve business objectives within the credit card domain. Set clear goals and performance metrics for team, providing ongoing coaching and mentorship to ensure their success. Oversee a specific book of work within the credit card domain, leveraging deep industry expertise to drive superior outcomes. Maintain a deep understanding of the credit card market, consumer trends, and competitor activity. Develop and maintain strong relationships with key stakeholders, including internal departments, partners, and regulators. Manage a specific book of work within the credit card domain, driving key performance indicators (KPIs) and exceeding targets.

Required qualifications, capabilities, and skills

12+ years of experience in the financial services industry, with a minimum of 8 years in a leadership role within the credit card domain. Proven track record of success in driving growth and profitability in the credit card business. Strong understanding of credit card products, operations, and marketing strategies. Experience in managing and motivating a diverse team of professionals. Excellent communication, interpersonal, and relationship-building skills. Strong analytical and problem-solving abilities. Ability to work effectively in a fast-paced and dynamic environment.

Preferred qualifications, capabilities, and skills

Proficiency in Microsoft Office Suite and financial modeling tools. Ability to understand and work on visualization tools, SAS, SQL, python, machine learning models preferred.