Fraud Operations Analytics

Traveloka; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Traveloka is seeking a data-driven Fraud Operations Analyst to strengthen its fraud operations across consumer lending, payments, and broader digital commerce scenarios. You will perform hands-on operational analytics, conduct fraud investigations, and help build controls to prevent losses.

You will develop and refine the data foundation supporting day-to-day fraud operations, improve case review workflows, and translate insights into sharper fraud controls across markets.

Qualifications

• At least 5 years of relevant experience.
• Strong hands on analytical skills, particularly SQL and data analysis.
• Ability to independently investigate complex datasets and translate findings into practical actions.
• Experience in fraud, risk, payments, fintech, e-commerce, banking, or other transaction-driven businesses is preferred.
• Good understanding of fraud investigation, transaction monitoring, or operational risk processes is a strong advantage.
• Strong problem-solving skills, attention to detail, and the ability to work effectively across Operations, Product, Strategy, and other functions.

Responsibilities

• Support the day-to-day analytical needs of Fraud Operations, ensuring investigators have the right data and context to assess and handle fraud cases effectively.
• Build and improve the data foundation for Fraud Operations, including key metrics, dashboards, monitoring, and analytical views across case handling, fraud losses, and operational performance.
• Use case and transaction data to improve case prioritization, investigation workflows, and operational efficiency.
• Analyze fraud incidents and emerging patterns to identify root causes, control gaps, and opportunities for prevention.
• Translate frontline investigation findings into actionable insights, and partner with Fraud Strategy, Product, Payments, and other teams to strengthen fraud controls.
• Evaluate the effectiveness of fraud prevention and operational initiatives through structured analysis and post-launch monitoring.

Skills

SQL

Data analysis

Investigative analysis

Job description

About Traveloka
Traveloka is Southeast Asia's leading travel and lifestyle super-app. We connect tens of millions of travellers across the region with flights, hotels, experiences, financial services, and more — all from a single platform. Since our founding in 2012, we have expanded to eleven markets, processed billions of dollars in transactions, and built one of the most recognised consumer brands in the region.

Job Description
Job ID: MJ000400

About Traveloka
Traveloka is Southeast Asia's leading travel and lifestyle super-app. We connect tens of millions of travellers across the region with flights, hotels, experiences, financial services, and more — all from a single platform. Since our founding in 2012, we have expanded to eleven markets, processed billions of dollars in transactions, and built one of the most recognised consumer brands in the region.
We move fast because the region demands it. Southeast Asia is young, mobile-first, and growing faster than almost anywhere else on earth. We are not transplanting a Western playbook — we are writing a new one, from scratch, for a market that does not look like anywhere else — and we are calling for people who want to be part of that.
About The Team
Fraud is the front line that keeps Traveloka's Financing products safe to use and worth trusting. As we extend PayLater options, you protect customers and the business from the bad actors who follow the money — investigating suspicious applications, tuning detection rules, and acting on cases before losses compound, all without slowing down the honest traveller who just wants to book their trip.
This is operations with real stakes and real numbers behind it. You will work across markets with very different fraud patterns and credit infrastructure, turn what you see in the field into sharper rules and faster decisions, and partner closely with risk, product, and compliance. If you like chasing signals, owning outcomes, and building defences for a problem that keeps changing, you will have plenty to do here.
About The Job
We are looking for a data driven analyst to strengthen our fraud operations across consumer lending, payments, and broader digital commerce scenarios.
This role combines hands on operational analytics with fraud investigation and prevention. You will build the data foundation that supports day today fraud operations, improve how cases are reviewed and investigated, and turn operational insights into better fraud controls.

• Support the day-to-day analytical needs of Fraud Operations, ensuring investigators have the right data and context to assess and handle fraud cases effectively.
• Build and improve the data foundation for Fraud Operations, including key metrics, dashboards, monitoring, and analytical views across case handling, fraud losses, and operational performance.
• Use case and transaction data to improve case prioritization, investigation workflows, and operational efficiency.
• Analyze fraud incidents and emerging patterns to identify root causes, control gaps, and opportunities for prevention.
• Translate frontline investigation findings into actionable insights, and partner with Fraud Strategy, Product, Payments, and other teams to strengthen fraud controls.
• Evaluate the effectiveness of fraud prevention and operational initiatives through structured analysis and post-launch monitoring.

Job Requirements

• You have at least 5 years of relevant experience.
• Strong hands on analytical skills, particularly SQL and data analysis.
• Ability to independently investigate complex datasets and translate findings into practical actions.
• Experience in fraud, risk, payments, fintech, e-commerce, banking, or other transaction-driven businesses is preferred.
• Good understanding of fraud investigation, transaction monitoring, or operational risk processes is a strong advantage.
• Strong problem-solving skills, attention to detail, and the ability to work effectively across Operations, Product, Strategy, and other functions.

Join Us
If you have read this far and felt something click — the problem, the scale, the moment — we would like to hear from you.
We review every application. If your background is a strong fit, you will hear from us within 5 business days.
We are building the kind of company where strong people choose to stay because the work keeps getting bigger and better. If that is what you are looking for, apply.