Machine Learning Engineer (User Growth) - Global Payment - Singapore

The Growth Algorithm team leads high-impact algorithmic initiatives across BNPL and Cash Loan products in Southeast Asia, driving scalable growth across diverse markets, customer segments, and financial scenarios.

• Solve high‑impact growth challenges - from funnel optimization to incentive and pricing strategies - by building global‑scale systems that directly influence the expansion of international payments and financial services.
• Lead the end‑to‑end lifecycle of growth algorithms—from problem definition and modeling to experimentation, production deployment, and continuous iteration using real‑world data.
• Develop large‑scale machine learning algorithms and build industry‑leading user growth models, leveraging cutting‑edge AI, deep learning, and uplift modeling to accelerate growth in payment and financial products.
• Develop AI‑driven decision systems—including autonomous agents—that continuously learn, adapt, and autonomously execute growth strategies across global markets.
• Partner with product, engineering, and data teams to identify high‑leverage opportunities and deliver measurable, scalable business impact.

Requirements:

Minimum Qualification(s):

• 3+ years of experience building or optimizing large‑scale systems in internet, or fintech business, with a strong desire to tackle even larger global‑scale challenges.
• Bachelor's degree or above, strong academic or practical foundation in Computer Science, Machine Learning, Data Mining, or related fields, with the ability to apply theory to real‑world, high‑impact problems.
• Hands‑on experience with modern ML techniques—including statistical learning, deep learning, uplift modeling, or large‑scale optimization—and enthusiasm for exploring frontier AI such as LLMs and autonomous agents.
• Exceptional analytical and logical reasoning skills, capable of breaking down complex growth problems and designing scalable algorithmic solutions.
• Curiosity and ambition to grow, with a passion for using data, algorithms, and AI to drive measurable business impact across global payment and financial products.

Preferred Qualification(s):

• Experience driving user growth in high‑traffic environments—including online ads, digital marketing, recommendation systems, or automated growth platforms—and enthusiasm for applying these capabilities to global‑scale payment and financial ecosystems.
• Practical experience in fintech or financial services, especially in projects involving large‑scale transactions, risk‑reward optimization, or multi‑market operations, demonstrating your ability to thrive in complex and rapidly evolving business environments.