Job Overview
Senior Fintech Data Scientist β AI-Powered Banking Intelligence & Predictive Financial Analytics
π Location: Dubai, United Arab Emirates
π Work Model: Hybrid (Advanced Financial Intelligence Lab + Global Data Science Collaboration)
Strategic Industry Context
The future of financial services is increasingly being shaped by predictive intelligence, machine learning, behavioral analytics, and real-time decision-making systems. Across the Gulf region, fintech institutions are rapidly evolving from transaction-focused platforms into intelligent financial ecosystems powered by advanced data science capabilities.
Modern fintech organizations now rely heavily on data scientists capable of transforming massive financial datasets into actionable intelligence driving fraud detection, customer engagement, risk prediction, operational automation, and strategic growth.
This role is designed for an elite fintech data scientist capable of building the analytical backbone of next-generation digital finance.
Mission Objective
To architect and optimize intelligent financial analytics ecosystems supporting:
- AI-driven banking intelligence
- Predictive customer analytics
- Fraud detection and behavioral modeling
- Real-time financial decision systems
- Advanced transaction intelligence platforms
Primary Responsibilities
1. Financial Data Intelligence & Predictive Modeling
- Develop advanced predictive models supporting customer behavior analysis, financial forecasting, and operational optimization
- Build machine learning systems capable of identifying transaction anomalies, fraud risks, and customer engagement patterns
- Design intelligent analytics pipelines processing large-scale financial datasets in real time
2. AI & Machine Learning Engineering
- Develop scalable machine learning workflows integrated into fintech production environments
- Collaborate with engineering teams on deployment of AI-powered financial intelligence systems
- Optimize model performance, feature engineering pipelines, and predictive accuracy frameworks
3. Customer & Transaction Analytics
- Analyze customer financial behavior to improve product personalization and platform engagement
- Build behavioral segmentation systems supporting customer lifecycle optimization
- Develop transaction intelligence models enhancing operational visibility and financial insights
4. Fraud Detection & Risk Intelligence
- Build anomaly detection systems identifying suspicious financial activity and operational threats
- Develop intelligent scoring models supporting fraud prevention and risk management ecosystems
- Collaborate with security and compliance teams on operational risk intelligence initiatives
5. Strategic Analytics Collaboration
- Work closely with fintech engineers, product managers, risk specialists, and executive leadership teams
- Translate complex analytical findings into actionable business intelligence strategies
- Contribute to enterprise-wide data modernization and analytics innovation initiatives
Technical Requirements
- 5β10 years in data science, financial analytics, machine learning, or predictive modeling environments
- Strong expertise in:
- Python / R / SQL
- TensorFlow / PyTorch / Scikit-learn
- Data engineering pipelines
- Statistical modeling and forecasting
- Big data ecosystems
- Cloud-native AI infrastructure
- Financial analytics visualization tools
- Experience working with:
- Banking datasets
- Payment ecosystems
- Fraud detection systems
- Customer analytics platforms
- Real-time financial intelligence environments
Preferred Expertise
- Familiarity with graph analytics and anomaly detection systems
- Experience in cloud-based machine learning operations (MLOps)
- Knowledge of fintech operational intelligence ecosystems
- Understanding of AI governance and responsible analytics frameworks
Strategic Impact
You will help build intelligent financial systems capable of predicting, adapting, and optimizing the future of digital banking across the Gulf region.
Are you excited about this opportunity?
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Letβs shape the future of finance together!
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