
501 - 1000 employees
Founded 2005
💸 Finance
💳 Fintech
₿ Crypto
Finance • Fintech • Crypto
MultiBank Group is a global financial services firm founded in California in 2005 that provides retail and institutional trading in FX, CFDs, commodities, stocks and crypto. It operates regulated brokerage and exchange businesses (including mb. io and MEX Exchange), offers institutional liquidity and prime brokerage services, and runs affiliate and franchise programs for partners. The group promotes fintech innovation—blockchain tokenization of assets, a native token (MBG), AI-driven trading tools, and a mobile/web trading ecosystem—while servicing over 2 million clients across 25+ offices and multiple regulated entities.
🕒 April 30
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501 - 1000 employees
Founded 2005
💸 Finance
💳 Fintech
₿ Crypto
Finance • Fintech • Crypto
MultiBank Group is a global financial services firm founded in California in 2005 that provides retail and institutional trading in FX, CFDs, commodities, stocks and crypto. It operates regulated brokerage and exchange businesses (including mb. io and MEX Exchange), offers institutional liquidity and prime brokerage services, and runs affiliate and franchise programs for partners. The group promotes fintech innovation—blockchain tokenization of assets, a native token (MBG), AI-driven trading tools, and a mobile/web trading ecosystem—while servicing over 2 million clients across 25+ offices and multiple regulated entities.
• 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
• Strong Python programming with ML libraries • Experience building and deploying models in cloud environments (AWS preferred) • Strong understanding of ML algorithms • Experience with NLP, LLMs, or time-series modeling • Hands-on experience with MLOps tools • Experience building real-time inference systems • Strong understanding of data pipelines and feature engineering • Ability to write production-quality, scalable code
• Competitive salary plus performance-based incentives • Access to a dynamic, international, and fast-growing environment • Strong opportunities for career progression within a global financial group • Be part of a business committed to innovation, excellence, and long-term growth
Apply Now🕒 April 29
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