Alaan is the Middle East’s first AI-powered spend management platform, built to help businesses save time and money.
Our all-in-one solution combines smart corporate cards, real-time expense tracking, AI-powered automation, seamless accounting integrations, and deep financial insights- designed to simplify finance operations and maximize control over company spend.
Founded in 2022, Alaan is already the trusted partner of over 2,000 leading businesses across the UAE and KSA, including G42, Careem, McDonald’s, Tabby, Al Barari, Rove Hotels, Rivoli, and CarSwitch. Together, our customers have saved over AED 100 million with Alaan.
In just three years, Alaan has become the #1 expense management platform in the Middle East- and we’ve done it while becoming profitable.
Backed by Y Combinator and top global investors- including founders and executives of leading startups- Alaan is built by a world-class team from McKinsey, BCG, Goldman Sachs, Barclays, Zomato, Careem, Rippling, and other high-growth companies.
We’re not just building software. We’re reimagining how finance works for modern businesses across the region.
About the roleWe are seeking a highly analytical and detail-oriented Fraud & Risk Data Analyst to join our Risk & Compliance team. The ideal candidate will be passionate about using data to detect patterns, uncover anomalies, and design strategies that protect our customers and business from emerging threats. You will play a key role in analyzing fraud trends, enhancing detection frameworks, and supporting cross-functional teams with actionable insights.
What you'll do- Monitor, analyze, and investigate unusual patterns in customer and transaction data to identify potential fraudulent activity.
- Develop and maintain dashboards, reports, and models to track fraud trends, risk exposure, and KPIs.
- Work closely with risk, compliance, and product teams to strengthen fraud detection rules, scoring models, and prevention strategies.
- Conduct root cause analysis of confirmed fraud incidents and provide recommendations for process or system improvements.
- Evaluate the effectiveness of existing fraud detection tools, rules, and machine learning models; propose refinements for better accuracy.
- Partner with data engineering and product teams to ensure data quality and build scalable fraud monitoring solutions.
- Stay informed about evolving fraud techniques, regulatory requirements, and industry best practices to help future-proof the company’s fraud prevention capabilities.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or related field. An advanced degree is a plus.
- 2–4 years of experience in fraud analytics, risk management, or related data-focused roles.
- Strong analytical and problem-solving skills, with proficiency in SQL and data visualization tools (e.g., Metabase).
- Experience with Python or R for data analysis and statistical modeling is preferred.
- Knowledge of fraud detection systems, scoring models, or transaction monitoring frameworks.
- Strong business acumen with the ability to translate complex data insights into clear, actionable strategies.
- Excellent communication skills to work effectively with cross-functional stakeholders.
- Contribute to building the Middle East’s most beloved fintech brand from the ground up
- Benefit from a role with significant ownership and accountability
- Thrive in a flexible hybrid culture with ample work-life balance
- Participate in exciting offsite events
- Competitive salary and equity
- Enjoy additional perks like travel allowances, gym memberships, and more
