Algorithmic Credit Trader: Quantitative Trading & Market-Making

Santander Group; España; Híbrido; EUR 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Gym / WellHub membership

Meal subsidy

Shuttle service Madrid

Exclusive discounts for Santander"

Descripción de la vacante

Santander Group is seeking an Algorithmic Credit Trader (Quantitative Credit Trading) based in Madrid. You will design and maintain data infrastructure, develop algorithmic strategies across cash bonds, CDS, ETFs, and indices, and manage a two-sided market-making book across DM/EM credit markets.

You will build multi-factor models, integrate alternative datasets, and collaborate with tech, data science, and risk teams to optimize trading and risk metrics. English required.

Formación

• Advanced degree in quantitative discipline as listed.
• Strong experience in systematic, algorithmic or electronic trading, preferably in credit markets.
• Deep understanding of fixed income and credit products (cash bonds, CDS, ETFs).
• Proven experience developing quantitative models and factor-based strategies.
• Strong Python programming and large data handling skills.
• Knowledge of market microstructure and statistical modeling.
• Experience building pricing engines, risk analytics, and trading platforms.

Responsabilidades

• Design, build and maintain in-house data infrastructure for systematic credit trading.
• Develop and enhance algorithmic trading strategies across multiple credit products.
• Establish a two-sided algorithmic market-making and trading book across DM/EM markets.
• Develop multi-factor models to identify trading opportunities and alpha.
• Integrate alternative data, signals, liquidity metrics into trading models.
• Build pricing engines, risk tools, analytics, and execution capabilities.
• Monitor execution quality and costs across electronic and voice channels.
• Manage P&L framework with transparency and risk controls.
• Develop risk analytics and portfolio visualization for regional exposures.
• Collaborate with tech, data science, risk, and research teams to scale strategies.
• Support onboarding of venues and liquidity providers; contribute to primary markets.

Conocimientos

Python programming

Algorithmic trading

Data analysis

Quantitative finance

Communication

Educación

Advanced degree in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science, or related quantitative discipline

Herramientas

Bloomberg Terminal

Bloomberg Data License

TOMS

KDB

Grafana

Descripción del empleo

Santander Group is seeking an Algorithmic Credit Trader (Quantitative Credit Trading) based in Madrid. You will design and maintain data infrastructure, develop algorithmic strategies across cash bonds, CDS, ETFs, and indices, and manage a two-sided market-making book across DM/EM credit markets.

You will build multi-factor models, integrate alternative datasets, and collaborate with tech, data science, and risk teams to optimize trading and risk metrics. English required.