Quant Strategist

Steneg; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A global consulting firm seeks a Quantitative Consultant in Madrid. This role involves leading model development and algorithmic trading solutions in the financial services sector. Candidates should possess strong quantitative skills, substantial experience in electronic trading, and a graduate degree in a quantitative discipline.

Formación

• Minimum 5 years experience in quantitative development or electronic trading.
• Strong proficiency in Java, including modern frameworks.
• Experience with pricing engines and trade lifecycle components.

Responsabilidades

• Lead design and development of pricing models for interest rate products.
• Architect low-latency trading platforms and decision-making systems.
• Conduct quantitative research for electronic market making.

Conocimientos

Quantitative Development

Electronic Trading Systems

Statistical Modelling

Multi-threaded Programming

Client Engagement

Educación

Master’s or PhD in Mathematics, Statistics, Physics, Engineering, or Computer Science

Herramientas

Java

Spring

Google Guice

Descripción del empleo

Our client is a global consulting firm specializing in advanced analytics, quantitative finance, and technology advisory for leading institutions across capital markets. The firm partners with clients to design and implement high-impact solutions in electronic trading, model development, and risk management. Leveraging deep domain expertise and cutting-edge technologies, it delivers tailored strategies that enhance performance, reduce complexity, and support regulatory alignment across the financial services sector.

Mission

The successful candidate will join a specialized consulting team tasked with designing and delivering quantitative trading and risk solutions for clients in global interest rate markets. This role involves leading engagements focused on model development, system architecture, and algorithmic design for pricing and electronic trading. Through deep collaboration with client stakeholders, the consultant will drive impactful outcomes by applying quantitative rigor and engineering excellence to complex financial problems.

Responsibilities

Quantitative Advisory & Implementation

• Lead the design and development of pricing models and algorithmic trading strategies for interest rate products.
• Architect and deliver low-latency trading platforms and decision-making systems for client use cases.
• Build analytical tools for automated risk and position management tailored to client infrastructure.
• Conduct quantitative research to support client engagements in electronic market making and pricing automation.
• Develop, document, and validate models in alignment with regulatory and internal governance requirements.
• Provide structured scenario analysis and contribute to market stress testing frameworks.

Stakeholder Engagement & Delivery

• Interface with client teams across Trading, Risk, and Technology to understand requirements and deliver customized solutions.
• Translate technical outputs into actionable insights for both technical and non-technical stakeholders.
• Support project scoping, planning, and prioritization in alignment with client objectives.
• Assist clients in enhancing their model governance frameworks through technical review and effective challenge.
• Advise on best practices in model development, validation, and documentation across trading and risk domains.
• Guide clients in aligning model architecture with enterprise risk appetite and regulatory expectations.

Required Qualifications

• Minimum 5 years of experience in quantitative development or electronic trading systems within financial institutions or consulting environments.
• Strong proficiency in Java, including multi-threaded programming and modern frameworks (Spring, Google Guice).
• Graduate degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or Computer Science.
• Demonstrated experience with electronic trading infrastructure, including pricing engines, execution logic, and trade lifecycle components.
• Advanced statistical modelling skills and experience working with large-scale financial datasets.
• Solid understanding of interest rate markets and fixed income product structures.

Strategist • Madrid, Community of Madrid, Spain