Lifecycle & CRM Manager - Engagement & Retention
JOB DESCRIPTION
About IG
IG has been at the centre of retail trading and investment since 1974, when we helped create the market for financial spread betting. Today, we're a FTSE 100 fintech operating across five continents, serving over 700,000 clients and handling billions in transactions, built on decades of scale, trust and proof.
We didn’t pivot to innovation; it’s how we’ve always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that’s rare in established businesses. The bar is high. Bring a curious and forward-thinking mindset and we’ll give you the platform to define what comes next.
Join us at IG – the future gets built here.
We are seeking a Lifecycle CRM Manager in our central Singapore office to drive active customer engagement and maximize lifetime value through intelligent segmentation, behavior-triggered communications, and retention strategies that reduce churn and reactivate dormant customers.
Key Responsibilities:
Design and implement real-time engagement campaigns based on trading behavior, market events, and product usage
Optimize trigger logic, timing, and frequency to maximize engagement without fatigue
Design retention strategies targeting customers showing disengagement signals
Build predictive models to identify churn risk and trigger proactive interventions
Create winback campaigns to reactivate dormant and lapsed customers
A/B test messaging, timing, and channel strategies for triggered communications
Monitor engagement and retention metrics and refine strategies based on performance data
Collaborate with product and analytics teams to identify key engagement and churn moments
Requirements:
3+ years experience designing lifecycle campaigns in CRM/marketing automation platforms
Strong analytical skills with ability to translate data into engagement and retention strategies
Proven experience building predictive models or working with predictive analytics
Knowledge of customer lifecycle marketing and engagement frameworks
Familiarity with financial services products and trading behavior desirable
Advanced proficiency with SQL and marketing analytics tools
Understanding of real-time decisioning and event-based marketing
Experience optimizing trigger logic and campaign frequency
A/B testing and experimentation mindset with focus on optimization
Data-driven approach with ability to develop and implement retention strategies
Hybrid - 3 days per week in office