Staff/Senior Data Scientist (Risk & Fraud), Algorithm

Attributes We Value: We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. This role is based in Singapore, with the opportunity to relocate and work in a fast-growing, globally connected tech ecosystem.

Who You Are: We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

1. At least 3+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
2. Bachelor’s or above degree in Computer Science, Engineering, or a related technical field.
3. Proficient in coding language such as Python and SQL.
4. Experience in payment risk or international e-commerce risk is a plus.
5. Experience in applying LLMs to real-time risk management is a plus.