Quant Scientist

🕒 vor 4 Monaten

🗽 New York – Remote

🗽 New York – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👻 Geisterscore 71%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 133 Tagen offen.
• Kein Gehalt angegeben.

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MdotM

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2009

📣 Marketing

Marketing

MdotM ist eine leistungsbasierte mobile Demand-Side-Plattform, die mehr als 300 Millionen einzigartige Nutzer auf iOS und Android erreicht. Die MdotM Demand-Side-Plattform ermöglicht es Werbetreibenden und Agenturen, ihre Zielgruppe effizient in Echtzeit zu erreichen, indem sie Zugang zu Milliarden von monatlichen mobilen Anfragen erhalten.

Beschreibung

• 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.

🎯 Anforderungen

• 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).

🏖️ Vorteile

• 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.

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