Investment Quant

Overview

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In this Investment Quant role, you will own end-to-end quant projects within a Madrid-based startup unit of a global fund. You will translate business problems into mathematical models, source and process data, and deliver production-ready solutions. The position combines advanced analytics with trading-focused tooling to generate profitable outcomes. You join a fast-paced, cross-functional environment that values initiative and impactful, data-driven modelling.

Compensaciones / Beneficios

• Competitive salary package
• Be part of a start-up office within a global organisation
• Cutting edge projects
• Ownership of technical products and projects

Responsabilidades

• own end-to-end quant projects from problem understanding to production solution
• model and solve mathematical problems linked to trading analytics
• source and prepare required data for modelling
• build and maintain trading tools and analytics with measurable profitability
• collaborate with cross-functional teams in a fast-paced setting
• contribute to cutting-edge projects within a startup office of a global fund

Requisitos principales

• Bachillerato grades 9.0+ and a 1st class degree (8.5+), with MA/PhD in a numerate field from a Russell Group university or equivalent
• excellent maths intuition
• derivatives understanding and market knowledge
• 3–5 years’ experience in financial services, ideally Rates or Equities
• Python-based data analysis experience
• 3+ years object-oriented xugodme programming in C#, C++, or Java
• 2+ years derivatives pricing and modelling
• knowledge of machine learning
• ability to learn quickly in fast-paced environments
• strong communication and pragmatic problem-solving
• ability to work independently and in a collaborative team

• strong communication
• pragmatic problem solver
• independent work ethic
• Python data analysis
• Object-oriented programming (C#, C++, Java)
• Derivatives pricing and modelling