Job Overview

Lead Financial Data Scientist – Risk & Fraud Intelligence (Remote – Saudi Arabia)

Position Context

An analytically intensive role focused on leveraging advanced data science techniques to combat financial crime and enhance risk intelligence frameworks. This position is ideal for professionals who excel in predictive modeling, anomaly detection, and large-scale data analysis within financial ecosystems.

Mission Objective

To design and deploy intelligent risk detection systems that proactively identify fraudulent patterns, mitigate financial risks, and strengthen institutional trust in digital financial services.

Scope of Work

1. Data Science & Modeling

• Develop machine learning models for fraud detection, credit risk scoring, and transaction anomaly detection
• Apply supervised and unsupervised learning techniques to uncover hidden risk patterns
• Build real-time scoring engines for transaction monitoring

2. Data Engineering Collaboration

• Work closely with data engineers to structure and process large-scale financial datasets
• Optimize data pipelines for speed, accuracy, and scalability

3. Risk Intelligence Frameworks

• Design comprehensive risk assessment models incorporating behavioral analytics
• Enhance decision-making systems through predictive insights and probabilistic modeling

4. Regulatory & Compliance Alignment

• Ensure all models and systems adhere to financial regulations and ethical AI standards
• Support audit processes by providing transparent model documentation and explainability

Technical Requirements

• Expertise in Python, R, or Scala for data science applications
• Strong command of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with big data technologies (Spark, Hadoop)
• Knowledge of graph analytics for fraud network detection
• Familiarity with cloud-based data platforms and MLOps practices

Professional Background

• 6–12+ years in data science, preferably within fintech or financial services
• Proven track record of deploying ML models into production environments
• Strong mathematical foundation in statistics, probability, and optimization

Value Proposition

• Work on high-impact financial security challenges
• Remote flexibility with Saudi Arabia market exposure
• Access to large-scale datasets and advanced computational resources
• Competitive, globally benchmarked compensation

Are you excited about this opportunity?

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