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 3000 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 Four years, Alaan has been named to the Forbes Fintech 50 list, UAE Future 100 list, selected as an Endeavor company, and ranked the No. 1 spend management platform in EMEA by G2.
Alaan is also backed by Y Combinator and top global investors, including Peak XV (formerly Sequoia India), Y Combinator, 468 Capital, and 885 Capital, among others, and built by a world-class team with experience from McKinsey, BCG, Goldman Sachs, Careem, Rippling, and other high-growth companies. This creates an environment where employees learn from top-tier talent while building at startup speed.
We’re not just building software. We’re reimagining how finance works for modern businesses across the region.
*Alaan is a fintech company, not a bank. Business bank accounts are issued by Ruya.
We are seeking a highly analytical and detail-oriented Risk Data Scientist 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.
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
Job details are sourced from the employer's original posting.
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