Key skills
PythonSQLTableauMachine LearningData EngineeringAnalyticsLeadershipStakeholder ManagementCommunicationAccount Management
About this role
Role Overview
- Responsible for shaping data-driven strategies that enable sustainable customer growth, optimize portfolio performance, and drive enterprise business outcomes.
- Combines advanced analytics, strategic thinking, and business leadership to identify emerging opportunities, influence decision-making, and deliver measurable impact across Acquisition and Account Management functions.
- Leads high-impact strategy science initiatives by leveraging advanced analytics, experimentation, machine learning, and deep business insights to solve complex business problems.
- Partners closely with senior business leaders, model development teams, technology organizations, and cross-functional stakeholders to define strategic priorities and translate insights into scalable solutions.
Requirements
- Bachelor’s degree and 5+ years of experience in data analytics/strategy within Credit, Marketing, Risk or Collections in Financial services, or in lieu of a Bachelor's degree, 7+ years of data analytics/data sciences in Marketing, Risk or Collections in Financial services.
- 5+ years of experience using statistical/analytics tools such as SAS, SQL, Python and/or visualization tools (e.g., Tableau).
- Expert-level proficiency with Presentation and Excel.
- 3+ years of experience supporting retail lending products (e.g., credit cards, installment loans, unsecured lending).
- Strong understanding of the consumer lending lifecycle, credit card portfolios, customer acquisition, portfolio management, and decisioning strategies, with the ability to translate business objectives into data-driven solutions.
- Demonstrated experience leading high-impact analytics, strategy science, or data science initiatives that drive measurable business outcomes within a strategy, risk, fraud, or decisioning environment.
- Advanced analytical toolkit with expert proficiency in SQL and SAS, and strong working knowledge of Python (or equivalent programming languages) for advanced analytics, machine learning, automation, and scalable solution development.
- Proven experience in customer segmentation, predictive modeling, experimentation, optimization techniques, performance measurement, and strategy development.
- Excellent stakeholder management and executive communication skills with a proven ability to influence senior leaders and drive alignment across cross-functional teams without direct authority.
- Experience partnering with Business Strategy, Product, Technology, Model Development, Data Engineering, and Operations teams to deliver scalable analytical solutions and enterprise capabilities.
Tech Stack
- Python
- SQL
- Tableau
Benefits
- best-in-class employee benefits and programs that cater to work-life integration and overall well-being
- career advancement and upskilling opportunities