Teams at MDOTM Ltd | AI-Driven Investment Solutions for Asset & Wealth Managers

Designs, builds, and maintains production data pipelines and infrastructure supporting analytics, machine learning, and financial decision-making. Responsibilities include data ingestion, modeling, quality validation, workflow orchestration, database optimization, monitoring, troubleshooting, and managing scalable AWS or on-premises systems. The role collaborates with data scientists and analysts to ensure reliable access to large-scale and time-series financial data.

Evaluate and validate machine learning outputs against financial theory, client objectives, and market dynamics. Translate research signals into investment strategies, portfolio construction, and testable modeling specifications. Design and scale quantitative models in Python and Java, develop financial validation frameworks, and collaborate with ML researchers and technical teams to integrate research into production. Communicate quantitative insights clearly across technical and business stakeholders.

Own the full new-business sales cycle for MDOTM’s AI-powered SaaS investment platform, Sphere. Prospect and build pipelines, engage institutional asset and wealth management clients, deliver tailored demonstrations, manage complex multi-stakeholder evaluations, negotiate commercial terms, and close high-value enterprise deals. The role requires a proven B2B sales hunter who can independently generate net-new logos, exceed targets, influence senior stakeholders, and sell emerging technology within financial services.