Specialist , Fraud Technology

CORE PROFILE 

Supports the development, implementation, and optimization of fraud prevention technologies by identifying innovative solutions and enhancing existing systems and tools that proactively detect, prevent, and mitigate financial fraud across digital platforms within OneMaya. Collaborates with the Anti-fraud team, Product, Tech, Compliance, and others towards a common goal of enabling a secure, seamless financial experiences while ensuring operational performance, regulatory compliance and innovation across platform.

NATURE OF WORK

• Innovation & Development
• Identify emerging fraud threats, technologies, and methodologies and develop innovative solutions to address them.
• Assist in the design and implementation of new fraud detection tools, leveraging AI/ML, behavioral analytics, real-time monitoring, and automation.
• Collaborate with product and engineering teams to integrate fraud prevention capabilities into fintech services.
• System Enhancement & Optimization
• Monitor and analyze the performance of existing fraud systems.
• Recommend and implement improvements to increase detection accuracy and reduce false positives.
• Support continuous integration and deployment of fraud technology updates.
• Collaboration & Support
• Work closely with fraud operations, data science, engineering, cybersecurity, and compliance teams to align technology initiatives with business needs.
• Monitoring & Reporting
• Assist in building dashboards and reports to track fraud metrics, system performance, and ROI of fraud programs and initiatives.
• Conduct deep-dive analysis of fraud incidents and system performance. Perform impact analysis, root cause analysis, and retrospective evaluations to continuously strengthen fraud controls and enhance system resilience.

DISPLAYED SKILL MASTERY  

• Analytical Thinking: Ability to interpret complex data and identify fraud patterns.
• Technical Proficiency: Familiarity with fraud detection systems, data tools (e.g., SQL, Python), and fintech platforms.
• Innovation Orientation: Eagerness to explore and apply new technologies.
• Collaboration: Strong interpersonal skills to work effectively across teams.
• Adaptability: Comfortable working in a fast-paced, evolving fintech environment.

REQUIRED QUALIFICATIONS  

MINIMUM EXPERIENCE

• Minimum 3 years’ experience in fraud technology, risk analytics, or fintech / financial services operations.
• Proficient in tools such as Python, SQL, Tableau, or Power BI, as well as in machine learning and fraud detection platforms.
• SQL coding experience is a must.
• Strong understanding of fraud types (payment fraud, identity theft, synthetic identity, account takeover, etc.) and prevention techniques.
• Digital Banking, Wallet, and Lending experience will be preferred.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams and support stakeholder engagement.

EDUCATIONAL BACKGROUND

• BS or equivalent degree in Mathematics, Statistics, CS, IT, IS, Data Science, or equivalent fields

DESIRED WORK EXPERIENCE

• Hands on experience with Fraud Technology & Systems in the Fintech or Financial Services industry.