Fraud Strategy & Modeling Analyst

Astra Tech; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading consumer technology company in the UAE seeks a Fraud Strategy & Modeling Analyst to enhance their anti-fraud risk management framework focused on lending products. Candidates should have a degree in Data Science or a related field and over 3 years of experience in fraud risk strategy, with strong analytical skills in SQL and Python. Join to develop fraud detection rules and collaborate with data science teams to safeguard innovative financial solutions.

Qualifications

• 3+ years’ experience in fraud risk strategy, modeling, or analytics (credit lending/financial services preferred).
• Strong analytical skills with knowledge of SQL/Python and model evaluation metrics.
• Problem-solving mindset and ability to adapt strategies to a local UAE context.

Responsibilities

• Develop and maintain fraud detection rules and strategies across lending products.
• Work with data science teams to design, test, and deploy fraud scoring models.
• Analyze fraud cases and transaction data to identify new patterns and emerging threats.

Skills

Analytical skills

SQL

Python

Familiarity with fraud detection tools

Education

Bachelor’s degree in Data Science, Statistics, Risk Management, or related field

Job description

About Us

We are a leading UAE-based consumer technology company, building the digital infrastructure of everyday life with a focus on AI-powered fintech, communication, and digital services.

Guided by our philosophy, the Blueprint of Simplicity, we design technology around real human behavior, connecting people, enabling financial access, and making everyday experiences effortless.

Our flagship platform, botim, is the region’s most trusted fintech communication platform, combining secure VoIP with action-based AI and everyday money tools. Through botim money, we provide financial services that serve both individuals and SMEs, making payments, transfers, and credit simpler and more accessible. Today, the platform serves 150M+ users worldwide.

Our lending finance engine, Quantix, powers fast, regulated credit across the ecosystem, including innovative products such as CashNow for instant access.

From calls to credit, from daily services to big ambitions, we are rethinking how the region stays connected and financially included.

Role Summary

We are looking for a Fraud Strategy & Modeling Analyst to support the build-out of our anti-fraud risk management framework. The role will focus on fraud rules, strategy design, and model development to safeguard our lending products in the UAE market, with a strong focus on credit lending scenarios.

Responsibilities

• Develop and maintain fraud detection rules and strategies across lending products.
• Work with data science teams to design, test, and deploy fraud scoring models.
• Analyze fraud cases and transaction data to identify new patterns and emerging threats.
• Support the integration of internal and external data sources into the fraud engine.
• Provide insights and recommendations to improve approval accuracy and reduce fraud losses.

Requirements

• Bachelor’s degree in Data Science, Statistics, Risk Management, or related field.
• 3+ years’ experience in fraud risk strategy, modeling, or analytics (credit lending/financial services preferred).
• Strong analytical skills with knowledge of SQL/Python and model evaluation metrics.
• Familiarity with fraud detection tools, case management, or decision engines.
• Problem-solving mindset and ability to adapt strategies to a local UAE context.