Overview In this Investment Quant role, you will own end-to-end quant projects within a Madrid-based startup unit of a integral 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 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

📌 Investment Intern (Toledo)
🏢 SRG Europe
📍 Toledo