Director - Corporate Planning & Analysis; Future Opportunities - Finance

Responsibilities

• Deliver accurate, timely forecasts and variance analysis to support executive and Board-level decision-making.
• Develop driver-based models and scenario analyses to assess risks and opportunities.
• Leverage data, technology, and analytics tools to improve forecasting precision and efficiency.
• Partner with business units, Enterprise Services, and Credit & Fraud Risk Finance to provide actionable financial insights.
• Partner with stakeholders across Finance, Risk, Treasury, Technologies, and the TM1 Development team to deliver on forecasting goals.
• Support capital allocation, performance optimization, and strategic planning initiatives.
• Contribute to continuous improvement of FP&A processes, tools, and reporting.
• Proactively identify and eliminate manual, non-value-added BAU activities.
• Lead the design and refinement of driver-based forecasting models that link operational levers to P&L and capital outcomes.
• Interpret and challenge AI-generated forecasts, ensuring economic logic, transparency, and regulatory soundness.

Qualifications

• Minimum Qualifications: 7+ years of experience in Finance, Data Analytics, and Profitability analysis.
• Strong analytical skills with the ability to think critically and creatively about business challenges, identify high-impact analytical opportunities, manipulate large datasets, interpret trends, and generate actionable insights.
• Exceptional attention to detail with demonstrated organizational, problem-solving, and execution capabilities.
• Excellent communication skills, with the ability to synthesize complex data into clear, compelling narratives and articulate key insights to diverse audiences.
• Ability to explain complex quantitative and mathematical concepts to stakeholders with varying levels of technical expertise.
• Strong understanding of driver-based modeling, probabilistic forecasting, and scenario simulation frameworks.
• Demonstrated ability to work with data science and technology partners in deploying AI-enabled analytics.
• Bachelor’s degree in quantitative discipline such as Applied Mathematics, Physics, Engineering, Computer Science, Statistics, Economics, or related field.
• Preferred Qualifications: Proficiency in SQL, Hive, Python, PySpark, Regression & Machine Learning Techniques, Power BI or other visualization tools experience is strongly preferred.
• Graduate degree in a quantitative field - Applied Mathematics, Physics, Engineering, Computer Science, Statistics, Economics.

Benefits

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Pay

Details on pay are not specified in the job description.

Schedule

Details on schedule are not specified in the job description.