Welcome to the company, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs. Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US $35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, the company is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
We are 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 will focus 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.
Key Responsibilities:
- Collaborate with the wider marketing department to build meaningful datasets and a centralised data warehouse for reporting across numerous teams, focused on customer retention and LTV.
- Develop and own machine learning solutions that specialise in customer personalisation to increase engagement and coordinate with marketing teams towards their strategy and execution across multiple channels.
- Explore the capabilities of Gen AI to develop new apps for traders to enhance their trading experience based on preferences.
- Maintain a commercial acumen and find opportunities where technology can increase customer engagement or automate internal tasks.
Qualifications & Requirements:
- Strong expertise in SQL and comfortable with raw data and high-volume datasets (e.g., customer journey, marketing performance, product behaviour).
- Proficient in creating pipelines and automations with Python to connect multiple endpoints and APIs (e.g., first-party databases, marketing platforms).
- Expertise in deploying machine learning solutions end-to-end, particularly in predictive modelling and customer segmentation.
- Previous experience in data analysis to derive customer insights and communicate them to stakeholders to strategize on increasing customer engagement and LTV.
- Capable of creating applications using LLMs that summarise large volumes of data with knowledge of the latest Gen AI use cases.
- Familiarity with ETL tools (e.g., dbt, AWS Glue) and cloud environments (preferably AWS, SageMaker).
- Strong communication skills to present complex data insights to non-technical stakeholders and support business strategy.
Why Join Us?
- 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.
The company is an equal opportunity employer committed to diversity and inclusion.
