About the role

AI summarised

The Online Technical Fraud Analyst Manager leads a team of Technical Fraud Analysts in developing and implementing analytical solutions to detect, prevent, and mitigate fraud in a fast-paced e-commerce environment. This role combines technical leadership in SQL and Python-based analytics with people management, mentoring, and cross-functional collaboration to drive data-driven fraud prevention strategies. Based in Singapore, the position requires balancing tactical execution with innovation while fostering a culture of continuous improvement and inclusive teamwork.

TechnologyOnsiteSupport and Service

Key Responsibilities

Help technically lead the team’s development of new production SQL queries and Python jobs along with general analytics
Collaborate with and support the team to innovate, encouraging experimentation and growth
Mentor the team to develop their technical skillset considering both the individual’s wants and program needs
Drive personal innovation projects to improve the team’s and/or program’s efficiency
Oversee TFA tactical execution on a daily basis
Drive prioritization between execution and innovation, ensuring metrics are in line with program targets
Project Manage team initiatives as needed
Engage with internal and external functional partners to gain perspective and solution on combined challenges
Foster a culture of data-driven decision-making
Drive continuous improvement in fraud prevention strategies

Requirements

Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, a related field, or relevant experience
7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles
2+ years of experience leading and mentoring data-focused teams
Proficiency in SQL and at least one programming language (e.g., Python, R)
Strong background in experimentation design, causal inference, and statistical analysis
Experience working with large-scale data pipelines and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Experience with building robust monitoring systems to track data and production system health in production
Expertise in data storytelling and creating stakeholder-ready visualizations and narratives
Ability to perform in both strategic and tactical situations, and shift between them as defined by the needs of the role
Ability to connect insights to business outcomes and influence strategy
Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML ops tooling
Passion for fostering inclusive team environments and valuing diverse perspectives
Clear communicator who can translate complex technical concepts into actionable business language