Senior Product Manager - Risk System

About Us

Duotech is a Singapore-based technology company specialising in the consulting, design and engineering of customised software solutions and mobile applications. We help organisations drive innovation, improve operational efficiency and strengthen their competitive advantage through tailored, scalable technology solutions.Our team of experienced software experts works closely with clients to understand their unique business challenges and deliver streamlined, high-impact solutions that enhance productivity and support sustainable growth.

Responsibilities

• Own and drive the end-to-end fund security strategy, encompassing deposit and withdrawal controls, transaction monitoring, and fund flow tracing; design risk-tiering frameworks to minimize losses and maximize recovery.
• Design and scale anti-fraud capabilities for growth initiatives, mitigating abuse scenarios such as incentive exploitation, mass account creation, and fraudulent transactions; enable operations through self-serve risk strategy platforms.
• Build and optimize SMS risk control systems, preventing abuse (e.g., SMS flooding, OTP attacks, bulk registrations) while improving channel efficiency and cost effectiveness.
• Lead KYC and EDD strategy and execution, optimizing the end-to-end verification lifecycle to balance approval rates, regulatory compliance, and vendor cost efficiency.
• Architect and evolve core risk platforms, including decision engines, rule engines, and case management systems; drive configurability, automation, and scalability across risk operations.

Requirements

• Bachelor’s degree or above, with 7–9 years of product management experience, including at least 3 years focused on risk control or anti-fraud.
• Proven experience in crypto, digital asset exchanges, or fintech is mandatory.
• Deep expertise in anti-fraud systems, including KYC, KYT, AML, transaction monitoring, account security, and device fingerprinting.
• Strong understanding of rule engines and decision engines, with hands-on experience building strategy and policy platforms.
• Knowledge of machine learning applications in risk control, with the ability to work effectively alongside data science teams.