MultiBank Group

Customer Support

• Respond to client queries across live chat, email, and phone promptly and professionally.
• Provide support to Chinese-speaking clients during Canada coverage hours.
• Deliver high-quality support during evening shift operations, ensuring service-level agreements and response-time targets are met.
• Support clients through account opening, verification, funding, and withdrawal processes.
• Help clients navigate MT4, MT5, and the MultiBank-Plus platform.
• Escalate complex or sensitive cases to the relevant internal team and follow through to resolution.
• Keep accurate records of client interactions and contribute to knowledge-base improvements.
• Follow all compliance, KYC, and data-protection requirements.

Customer Support Specialist

• Respond to client queries across live chat, email, and phone promptly and professionally
• Provide support to Chinese-speaking clients across UK and Canada coverage hours
• Deliver high-quality support during evening shift operations, ensuring service-level agreements and response-time targets are met
• Support clients through account opening, verification, funding, and withdrawal processes
• Help clients navigate MT4, MT5, and the MultiBank-Plus platform
• Escalate complex or sensitive cases to the relevant internal team and follow through to resolution
• Keep accurate records of client interactions and contribute to knowledge-base improvements
• Follow all compliance, KYC, and data-protection requirements

Business Development Rep

• Identify, approach and sign new Introducing Brokers, affiliates and partners across the assigned territory.
• Onboard partners and equip them with the tools, materials and commercial terms to perform.
• Manage and grow an existing portfolio of IB relationships, increasing the trading volume they generate.
• Act as the main commercial contact for partners, resolving issues and identifying growth opportunities.
• Track partner performance and report on pipeline, activations and volume.
• Operate within the Group's regulatory and compliance framework for the relevant jurisdictions.

Business Development Manager

Business Intelligence Developer

• Build end-to-end analytical models to evaluate customer lifecycle
• Leverage outputs from ML models to drive predictive analytics and decision frameworks
• Develop advanced segmentation models using clustering techniques and behavioral feature engineering
• Perform deep funnel analysis using event-level data to identify inefficiencies and optimization opportunities
• Design and evaluate experimentation frameworks with statistical rigor
• Build data pipelines for analytics use cases using SQL and Python
• Work with large datasets from multiple sources
• Apply attribution modeling techniques to evaluate marketing performance
• Translate complex datasets and model outputs into clear, commercially actionable insights
• Automate recurring analyses and reporting using Python and workflow orchestration tools

Business Intelligence Analyst

Machine Learning Engineer

• Design, train, and deploy machine learning models across use cases such as recommendation systems, churn prediction, fraud detection, and behavioral scoring
• Build modular ML pipelines for feature engineering, training, validation, and inference
• Implement deep learning and NLP models, including transformer-based architectures for text and sequence data
• Develop and deploy LLM-based applications
• Integrate models into production systems via REST/gRPC APIs and microservices
• Implement MLOps pipelines using CI/CD, versioning, and monitoring tools
• Monitor model performance, detect drift, and implement automated retraining strategies
• Optimize models for latency, throughput, and cost in cloud environments
• Work closely with Data Engineers to ensure scalable and efficient data access
• Evaluate and integrate new AI frameworks and tools to continuously improve performance

AI & ML Engineer

Data Engineer

• This role focuses on building the data foundations that enable advanced analytics and machine learning at scale.
• You will design and develop data pipelines and architectures that support real-time insights and AI-driven applications across the business.
• Working with large, complex datasets, you will ensure data is reliable, accessible, and optimized for both analytics and machine learning use cases.
• Develop data models and warehouse schemas optimized for analytics and machine learning.
• Build and maintain data ingestion frameworks using streaming systems (Kafka, Kinesis) and batch processing (Spark, Airflow).
• Build and manage feature stores to support ML model training and inference.
• Integrate data from multiple sources into a unified architecture.
• Implement data quality validation frameworks and monitoring systems.
• Optimize data pipelines for performance, scalability, and cost efficiency.

Customer Support Specialist

Customer Support Specialist

Business Development Manager

Business Development Manager

Business Intelligence Analyst

AI & ML Engineer

AI Data Engineer