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A leading fintech firm seeks a Head of Performance Marketing to drive acquisition and retention across their brands. The role focuses on programmatic strategies, data analytics, and campaign optimization, aiming to exceed ROI targets. The ideal candidate will have extensive experience in leading financial service marketing efforts and a proven track record of managing substantial marketing budgets effectively.
About ThinkMarkets
ThinkMarkets is a global fintech leader, dedicated to revolutionizing the trading industry with cutting-edge, high-performance solutions. We specialize in providing multi-asset trading platforms that empower thousands of clients worldwide to access global financial markets seamlessly. Our flagship platform, ThinkTrader, allows users to trade the world 24/7 with unparalleled ease and efficiency. By leveraging the latest technologies, we deliver secure, intelligent, and intuitive trading experiences, bridging the gap between traders, investors, and the markets. As we continue to scale, we remain committed to driving innovation and equipping our clients with the tools to trade the world in the palm of their hand.
Role Overview
The Head of Performance Marketing will own and scale our acquisition and retention engine across ThinkMarkets (broker) and ThinkCapital (prop firm), with an emphasis on programmatic media, real-time bidding (RTB), and advanced data modeling. You’ll design, execute, and optimize multi-platform campaigns, build predictive models to inform bidding strategies, and lead a high-performance team to exceed aggressive ROI targets.
Key Responsibilities
Programmatic & RTB Strategy
Data Modeling & Analytics
Campaign Management & Optimization
Budget & Performance Oversight
Leadership & Cross-Functional Collaboration
Requirements
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You’re running a multi-region programmatic campaign via DV360 with a $5M annual budget. Midway through the quarter, your ROAS is dropping across EMEA while CPC remains stable and CTR is declining. Describe your approach to diagnosing and fixing this performance issue. Include how you would use DSP data, attribution models, and collaboration with other teams *