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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.

Manage end-to-end B2B client relationships, lead onboarding and training, monitor engagement and performance, define and track success metrics, deliver tailored presentations, act as client advocate to drive product improvements, and identify opportunities for account growth and improved product adoption.

Join a small company where you'll have a significant impact, receive mentorship, and work with a cutting-edge tech stack in a fun, young environment.

Hunt and close net-new enterprise institutional clients for MDOTM's AI-driven SaaS platform. Own full sales cycle from prospecting to close, build pipeline via outbound activities, deliver tailored demos, manage complex multi-stakeholder deals, negotiate commercial terms, and meet ambitious revenue targets while maintaining CRM and market knowledge.

Manage client implementation projects end-to-end, act as primary client contact, support business development with market research and materials, coordinate cross-functional teams, monitor financial markets for new use cases, and improve operational processes and documentation.