Fraud Data Analyst

YouTrip; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A fintech company in Singapore is seeking a Fraud Data Analyst to enhance fraud detection systems through data analytics. In this role, you'll design BI dashboards, integrate fraud analytics, and monitor transaction data for trends. Ideal candidates are analytical, eager to learn, and proficient in SQL and data visualization tools. A degree in a related field is preferred, and fresh graduates are encouraged to apply.

Qualifications

• Curious and analytical with a passion for data.
• Eager to learn about fraud analytics and risk management.
• Team-oriented and enjoys collaboration.

Responsibilities

• Design and enhance BI dashboards to track key fraud KPIs.
• Partner with teams to integrate fraud analytics into business intelligence.
• Monitor transaction data from fraud alerts and identify trends.
• Conduct preliminary investigations into suspicious activities.

Skills

SQL

Data analysis

Data visualisation tools

Python

Education

Degree in Data Science, Analytics, Business IT or related field

Tools

Metabase

Tableau

Job description

Description

YouTrip is the leading and fastest-growing multi-currency payment platform in Asia Pacific. In 2018, we pioneered the region's first multi-currency digital wallet. Now, YouTrip is the #1 multi-currency digital wallet trusted by millions across the region, processing over US$15 billion in total payment value annually.

Our consumer and business propositions – YouTrip and YouBiz – empower individuals and businesses with inclusive, accessible, and affordable financial solutions. YouTrip has raised over US$110 million to date, including its recent Series B round led by global venture capital firm Lightspeed Venture Partners—underscoring strong investor confidence in its mission to transform digital financial services across the Asia Pacific.

Recognised as World Economic Forum’s Global Innovator 2025, CNBC’s World’s Top Fintech Companies (2025, 2024), and LinkedIn’s Top Startup (2024, 2023), YouTrip is dedicated to creating the next generation of digital finance services for consumers and businesses.

Valuing an entrepreneurial culture of diversity and inclusion, we are seeking driven individuals to join our fast-growing regional team as we push the boundaries of innovative fintech solutions.

As a Fraud Data Analyst, you will contribute to safeguarding the organisation and our users from fraudulent activities. You will support the Fraud Operations and Investigation teams by leveraging data analytics to identify patterns and monitor systems. This role offers hands‑on experience in fraud detection methodologies and an opportunity to work in a fast‑paced environment while contributing to meaningful fraud risk mitigation strategies.

You Will

• Design and enhance BI dashboards and visualisations to track key fraud KPIs, ensuring alignment with business objectives
• Partner with cross‑functional teams to integrate fraud analytics into wider business intelligence frameworks for management reporting
• Translate fraud detection data into business intelligence insights, enabling stakeholders to make informed strategic and operational decisions
• Assist in monitoring and analysing transaction data from fraud alerts and identifying trends in fraudulent activities
• Support the team in utilising data analytics tools to uncover patterns and anomalies in transaction data, user behavior and other datasets
• Conduct preliminary investigations into suspicious activities and provide insights for escalated cases
• Collaborate with the team to evaluate current systems and processes, offering data‑driven recommendations for enhancements
• Support the wider Compliance Team in AML initiatives, including the enhancement and optimisation of Transaction Monitoring System rules

You Are

• Curious and analytical – You have a passion for diving into data, identifying patterns and solving problems using a detail‑oriented approach
• Eager to learn – You’re excited to gain exposure to fraud analytics and risk management in the dynamic payments industry
• Tech‑savvy – You are proficient in SQL and comfortable using spreadsheets, with a good understanding of data visualisation tools or platforms like Metabase and Tableau. Experience with Python is an added advantage
• Team‑oriented – You enjoy collaborating with others, sharing insights, and contributing to shared goals
• Proactive and resourceful – You are not afraid to take initiative, seek out solutions, and adapt to new challenges

Preferred Qualifications

• Holds degree in Data Science, Analytics, Business IT or a related field
• Basic understanding of fraud detection concepts and payment systems is a bonus but not required
• Strong communication skills and the ability to present findings clearly
• Fresh graduates with strong analytical skills are welcome to apply; the role demands a high level of self‑initiative and the capacity to work independently