MultiBank Group is seeking a Quant AI Engineer for Dubai to design, develop, and deploy AI-powered quantitative systems supporting trading, risk management, market surveillance, forecasting, and operational intelligence. You will combine quantitative development, machine learning engineering, and software engineering expertise to build scalable, production-grade AI solutions for real-time financial environments.
About MultiBank Group — A Global Financial Pioneer
Global Reach: Over 2 million clients across 100 countries worldwide
Trading Scale: Daily trading volume exceeding US$35 billion
Regulatory Strength: Oversight from 18+ financial regulators across 5 continents
Industry Recognition: Recipient of over 80 financial awards globally
Product Range: Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs
Career Impact & AI Engineering Opportunity
Strategic Location: Dubai — global headquarters of a leading regulated financial institution
Technical Scope: Build LLM, RAG, and agentic AI solutions for real-time trading environments
Innovation Focus: Work with cutting-edge MLOps, vector databases, and cloud-native AI platforms
Career Advancement: Shape the future of AI-driven quantitative finance within a global brand
Position Overview
This Quant AI Engineer role at MultiBank Group involves developing machine learning and quantitative models for forecasting, risk analytics, pricing, and anomaly detection, building scalable ML pipelines for training and deployment, and designing LLM-powered applications using RAG architectures and AI agents. You will integrate AI solutions with trading platforms and market data feeds while ensuring data quality, security, and regulatory compliance across every initiative in Dubai.
Why This Role Matters: As Quant AI Engineer at MultiBank Group, you build production-grade AI systems powering trading, risk management, and market intelligence for a globally regulated financial institution, design LLM and RAG-based solutions that automate complex financial workflows, apply MLOps best practices across model training, deployment, and governance, work with cutting-edge frameworks like PyTorch, LangChain, and Kubernetes, and shape the future of AI-driven finance within a 2-million-client global brand.
Key Responsibilities
AI & Quantitative Model Development
- Develop machine learning and quantitative models for forecasting, risk analytics, and pricing
- Design and implement predictive models using statistical, ML, and deep learning techniques
- Optimize model accuracy, reliability, and performance across production environments
- Build frameworks for model evaluation, experimentation, and continuous improvement
AI Platform Engineering & MLOps
- Build scalable machine learning pipelines for training, deployment, and lifecycle management
- Develop APIs, services, and infrastructure exposing AI capabilities to business applications
- Implement MLOps practices including model versioning, monitoring, and automated deployment
- Ensure high availability, scalability, and observability of AI systems
LLM & Agentic AI Solutions
- Design LLM-powered applications for research automation and decision support
- Develop Retrieval-Augmented Generation (RAG) architectures using internal and external datasets
- Build AI agents and workflow orchestration solutions automating complex business processes
- Evaluate emerging AI technologies and integrate them into production systems
Data & Systems Integration
- Integrate AI solutions with trading platforms, market data feeds, and risk systems
- Work with structured and unstructured datasets across real-time and batch environments
- Ensure data quality, security, governance, and regulatory compliance across AI initiatives
Qualifications & Requirements
Educational Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Mathematics, or Quantitative Finance
Experience Requirements
- 5–10 years of experience in AI engineering, machine learning engineering, or quantitative development
- Experience within financial services, fintech, brokerage, or capital markets is highly desirable
Technical Skills
- Strong software engineering experience using Python
- Experience with PyTorch, TensorFlow, Scikit-learn, and XGBoost
- Knowledge of LLM frameworks such as LangChain, LangGraph, LlamaIndex, or AWS Bedrock
- Experience building RAG systems, vector database solutions, and AI agents
- Experience with SQL, Spark, Kafka, Docker, Kubernetes, and CI/CD pipelines
- Familiarity with AWS, Azure, or GCP cloud platforms
Desired Skills (PLUS)
- Understanding of trading systems, market data, pricing, and quantitative finance concepts
- Strong analytical, engineering, and problem-solving capabilities
About MultiBank Group in Dubai
Join MultiBank Group, a global financial pioneer established in 2005 in California and now headquartered in Dubai, UAE. Serving over 2 million clients across 100 countries with a daily trading volume exceeding US$35 billion, MultiBank Group is regulated by 18+ financial authorities across 5 continents and has earned over 80 financial awards, reflecting its commitment to innovation, excellence, and client empowerment.
Career Excellence: Shape the future of AI-driven finance with a globally recognized, heavily regulated financial institution.
Who Should Apply?
- AI/ML Engineers: With production-grade machine learning system experience
- Quantitative Developers: Skilled in financial modeling and risk analytics
- LLM & RAG Specialists: Experienced building agentic AI and retrieval-based systems
- MLOps Engineers: Comfortable with Docker, Kubernetes, and CI/CD pipelines
- Fintech Professionals: Seeking a role at a globally regulated financial institution
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