MultiBank Group, a global financial pioneer established in 2005 and headquartered in Dubai, UAE, is seeking an experienced AI Data Engineer to design, develop, and deploy innovative data and machine learning solutions that drive customer engagement, retention, and lifetime value (LTV). This role focuses on building scalable data pipelines, predictive models, and GenAI-powered applications that enable more personalised trading experiences and support data-driven decision-making across the business.
About MultiBank Group – Global Trading Leader
Market Position: Global financial pioneer established in 2005 in California, now headquartered in Dubai, UAE
Product Range: Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs
Client Base: Over 2 million clients across 100 countries
Trading Volume: Daily trading volume exceeding US$ 35 billion
Regulatory Strength: Oversight from 18+ financial regulators across 5 continents, with 80+ financial awards
Global Impact & Innovation Opportunity
Strategic Location: Dubai – global headquarters of a heavily regulated, award-winning trading institution
Market Leadership: Work for a fintech leader serving 2 million+ clients across 100 countries
Innovation Focus: Explore GenAI capabilities to build personalised trading apps for traders
Career Growth: Opportunity to shape customer LTV strategy through data and machine learning at scale
Position Overview
This AI Data Engineer role involves designing, developing, and deploying data and machine learning solutions that drive customer engagement, retention, and lifetime value across MultiBank Group’s trading platform. You will collaborate with the marketing department to build meaningful datasets and a centralised data warehouse, develop machine learning solutions specialising in customer personalisation, explore GenAI capabilities to build new trader-facing apps, and maintain commercial acumen to identify opportunities where technology can increase engagement or automate internal tasks.
Why This Role Matters: As AI Data Engineer at MultiBank Group, you build the data infrastructure and machine learning models behind customer retention and LTV for 2 million+ traders worldwide, explore GenAI use cases that make trading more personalised and intuitive, work directly with marketing teams to shape multi-channel engagement strategy, apply predictive modelling, churn prediction, and customer segmentation at real production scale, and grow your career within a heavily regulated, award-winning global financial institution.
Key Responsibilities
Data Pipeline & Warehouse Development
- Collaborate with the marketing department to build meaningful datasets and a centralised data warehouse
- Support reporting across numerous teams focused on customer retention and LTV
- Create pipelines and automations connecting multiple endpoints and APIs using Python
- Work with first-party databases, marketing platforms, and other data collection sources
Machine Learning & Customer Personalisation
- Develop and own machine learning solutions specialising in customer personalisation
- Build predictive models for churn prediction and customer segmentation
- Coordinate with marketing teams on strategy and execution across multiple channels
- Deploy machine learning solutions end-to-end using Python
GenAI Application Development
- Explore the capabilities of Generative AI to develop new apps for traders
- Build applications using LLMs that summarise high volumes of data
- Stay current on the latest GenAI use cases relevant to trading and fintech
- Make trading easier and more personalised based on individual trader preferences
Data Insights & Commercial Strategy
- Find customer insights through data analysis and communicate them to stakeholders
- Strategize on how to increase customer engagement and lifetime value (LTV)
- Maintain commercial acumen to identify where technology can increase engagement or automate tasks
- Present complex data insights clearly to non-technical stakeholders
Qualifications & Requirements
Technical Skills
- Strong expertise in SQL, comfortable with raw data and multiple high-volume datasets such as customer journey, marketing performance, or product behaviour
- Comfortable creating pipelines and automations with Python connecting multiple endpoints and APIs
- Expertise in using Python to deploy machine learning solutions end-to-end, especially predictive modelling and customer segmentation
- Capable of creating applications using LLMs that summarise high volumes of data
Experience Requirements
- Previous experience finding customer insights through data analysis and communicating them to stakeholders
- Previous exposure to ETL tools such as dbt or AWS Glue
- Experience with cloud environments, preferably AWS and SageMaker
- Knowledge of the latest GenAI use cases and applications
Soft Skills
- Strong communication skills with the ability to present complex data insights to non-technical stakeholders
- Ability to support business strategy through data-driven recommendations
- Strategic mindset for increasing customer engagement and lifetime value
Why Join MultiBank Group
- Work with an industry-leading global financial institution
- Competitive salary and comprehensive employee benefits
- Opportunities for professional growth and career advancement
- Collaborative, inclusive, and dynamic work environment
- Commitment to innovation and professional excellence
About the MultiBank Group Opportunity
Join MultiBank Group, a global financial pioneer headquartered in Dubai with a thriving community of over 2 million clients across 100 countries and daily trading volume exceeding US$ 35 billion. As a heavily regulated institution overseen by 18+ financial regulators across 5 continents and recipient of over 80 financial awards, MultiBank Group offers AI Data Engineers the chance to shape GenAI-powered trading personalisation and customer LTV strategy at a truly global scale.
Career Excellence: Lead data engineering and GenAI innovation for one of the world’s most regulated and award-winning trading institutions.
Who Should Apply?
- Data Engineers with ML Expertise: Skilled in SQL, Python, and end-to-end machine learning deployment
- Fintech-Focused Data Scientists: With predictive modelling, churn prediction, and segmentation experience
- GenAI & LLM Application Builders: Interested in building summarisation and personalisation tools
- Cloud & ETL Specialists: Familiar with dbt, AWS Glue, AWS, and SageMaker environments
- Customer Analytics Professionals: Strong in translating data insights into LTV and engagement strategy
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