We are seeking a highly skilled and strategic Head of Financial Modelling and Product Analytics to lead the design, development, and refinement of advanced financial and credit card models.
Role drives long-term profitability, optimizes business performance, and supports strategic decision-making across the organization.
Lead the development and enhancement of advanced financial and credit card models to support strategic decisions and long-term profitability.
Provide analytical support for business strategy, regional expansion, and branch performance optimization.
Oversee performance analytics, including reporting, productivity tracking, profitability analysis, and regional budget management.
Drive business navigation through business case preparation, pilot execution, implementation tracking, and post-launch assessments.
Develop pricing and profitability models across sub-segments, including LTP-based strategies, to maximize income.
Partner with senior leadership to deliver actionable, data-driven insights that inform company-wide strategic initiatives and growth.
Requirements
5+ years of experience in financial modelling, FP&A, or related analytical roles, with at least 3 years in a leadership position.
Proven experience in financial planning and modelling, ideally within banking, fintech, or card services industries.
Bachelor's degree in Finance, Accounting, Economics, or a related field (Master’s degree preferred).
Strong proficiency with Excel, forecasting techniques, and data analysis tools such as SQL.
Excellent analytical, problem-solving, and data interpretation skills, with a keen attention to detail.
Well developed communication skills, team management skills.
Strong communication and presentation skills with the ability to translate complex financial concepts for diverse stakeholders.
Ability to work independently and manage priorities in a fast-paced, collaborative environment.
Experience supporting regional expansion and optimizing branch-level performance. (Preferred)
Hands-on expertise in preparing business cases, supporting pilots, and conducting post-control assessments. (Preferred)
Familiarity with statistical and data analytics tools such as Python or R. (Preferred)
Advanced certification such as CFA, CPA, or MBA. (Preferred)
Demonstrated ability to influence senior leadership and drive profitability initiatives. (Preferred)