Forensics and Intelligence Data Analyst
MastercardSingaporePosted 30 March 2026
Job Description
Our Purpose
Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Forensics and Intelligence Data Analyst
In the Financial Crime Solutions (FCS) team at Mastercard, we build and deliver products and services powered by payment data to detect and prevent financial crime. We are an award-winning team, combining advanced data science with deep payment expertise to help financial institutions combat fraud, scams, and money laundering by uncovering the criminal behaviors that drive them.
We are now building a new Centre of Excellence (COE) in Asia-Pacific, designed to act as a regional hub for the Cyber & Scam Centre. The Centre will drive scalable growth and robust delivery tailored to AP priorities, responsible for developing innovative solutions, use cases to the needs and priorities for AP. The COE aims to strengthen Mastercard’s leadership in anti-scam and fraud prevention through thought leadership and industry engagement.
Overview of Accountabilities:
This role is responsible for supporting the COE – cyber and scam vertical to develop and implement strategies via analysing data and identifying trends across suite of financial crime, identity and cyber solutions. This includes identifying new use cases, potential solutions, and helps to further develop data insights that can build on a consortium platform.
This role also manages product performance tracking, budget forecasting, drafting of white papers, developing narratives, managing communications and ongoing collaboration with internal and external stakeholders to enhance Mastercard’s FCS product offerings and national security postures across the Asia Pacific region.
Role:
• Develop and implement AP COE and Cyber and Scam strategies. Align with other COE vertical leads, global counterparts, regional and divisional leads.
• Analyse data, identify trends and new cases for different customer segments in FCS space (e.g. government, banks, ecommerce players etc). This includes management reporting
• Monitor and evaluate product performance; ability to locate and use relevant data to support performance measurement, tracking, and product insights. Build reporting templates and tools
• Analyze market trends (including local laws/ regulations), dynamics, and competition to inform product and go-to-market strategies
• Engage in idea generation, concept validation, business case development, and in some instances financial modeling and planning
• Become the subject matter expert on the required domain (Forensics and Intelligence Data Analysts) and use data to develop narrative and use cases to guide customers and internal stakeholders on FCS services and solutions
All About You:
• Experience in Forensics and data Intelligence work within government agencies and familiarity with AP regulations, particularly on consumer protection law, anti-scam/ cybercrime regulations
• is a plus. Otherwise, at the minimum, experience in Cyber and Scam space.
• Knowledge of account-based payments industry, Financial Crime, fraud, scam, crypto and AML/CTF domain.
• Strong communication and client presentation skills - ability to concisely communicate complex content in a simple, logical and compelling manner
• Strong interpersonal relationship building and client management skills with experience in working with different customer segments (e.g. Compliance, regulators, government agencies and law enforcers)
• Ability to embrace complexity, but deliver/articulate simplicity
• Ability to navigate, influence and gain-buy in from key deci ... (truncated, view full listing at source)
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