Quant Scientist

Job not on LinkedIn

🕒 July 2

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

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MdotM

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2009

📣 Marketing

Marketing

MdotM is a performance-based mobile Demand Side Platform that connects advertisers with more than 300 million unique users across iOS and Android devices. The platform enables advertisers and agencies to effectively reach their target audience in real-time by allowing access to billions of monthly mobile ad requests, thus facilitating mobile advertising and marketing efforts.

📋 Description

• Critically evaluate ML model outputs to ensure alignment with financial theory and real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks. • Translate research signals into actionable investment strategies and portfolio construction frameworks. • Collaborate with ML researchers to refine models, incorporating financial domain expertise and contributing to model design where needed. • Design, prototype, and scale quantitative models using Python and Java, maintaining a high standard for code quality and modularity. • Contribute to the financial validation layer of the R&D cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement. • Translate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution. • Collaborate across technical workstreams to ensure research outputs are aligned with investment objectives and successfully integrated into production workflows.

🎯 Requirements

• Degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field. • Understanding of portfolio construction, asset allocation, and risk management. • Solid Python/Java programming skills, with experience in financial modeling, data analysis, and working with ML-driven workflows. • Experience interpreting, validating, or stress-testing quantitative or machine learning models (e.g., backtesting, scenario analysis, or model diagnostics). • Ability to bridge finance and technology: translate investment concepts into technical requirements and challenge model outputs using real-world financial intuition. • Strong analytical mindset with the ability to communicate complex quantitative insights clearly to both technical and business stakeholders. • Fluent in English (written and spoken).

🏖️ Benefits

• Competitive salary & truly flexible work environment. • Benefit from an unlimited learning and development budget to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles. • Collaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York. • Annual company retreat at a stunning location. • Fast-track career progression, with opportunities to grow into leadership roles.