About Alaan

Alaan is an AI-native finance platform for businesses in the Middle East. The platform combines corporate cards, expense management, cross-border payments, accounting automation, treasury, business banking*, and more, with AI doing the work finance teams used to do by hand: coding transactions, chasing approvals and receipts, flagging policy breaches, placing treasury deposits, and closing the books.

Our mission is to simplify finance for businesses so they can save time and money.

Over 3,000 businesses use Alaan, from first-time founders to enterprises like Careem, G42, Tabby, Al Barari, and Rivoli. Since 2022, they have saved more than 2.2 million hours of manual finance work.

Alaan has raised $55Mn to date, including one of the largest Series A rounds in Middle East history, backed by Peak XV (formerly Sequoia India), Y Combinator, 468 Capital, and 885 Capital, among others. Headquartered in Dubai, Alaan has more than 250 employees across its Dubai, Riyadh, and Bangalore offices, with a team that comes from Careem, McKinsey, BCG, Goldman Sachs, Amazon, Revolut, Rippling, and the world’s leading firms.

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 a fintech company, not a bank. Business bank accounts are issued by ruya.

About the role

We 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.

What we're looking for

- 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.
- Solid 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.

What's in it for you

- 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

📌 Risk Data Scientist (Bengaluru)
🏢 Alaan
📍 Bengaluru