Algorithmic Credit Trader (Quantitative Credit Trading)

IT STARTS HERE

Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.

This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

• 10 yr experience in Algo trading in EUR credit

• Advanced degree in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.
• Strong experience in systematic, algorithmic, or electronic trading, preferably within credit markets.
• Deep understanding of fixed income and credit products, including cash bonds, CDS, credit indices, ETFs, and portfolio trading solutions.
• Proven experience developing quantitative models and factor-based investment or trading strategies.
• Strong programming skills in Python and experience working with large datasets, database architectures, and market data APIs.
• Solid knowledge of statistical modeling, machine learning techniques, and financial market microstructure.
• Demonstrated experience building pricing engines, risk management systems, and trading analytics platforms.
• Proven ability to manage large and complex credit risk portfolios, including market-making books with significant balance sheet and risk exposure.
• Experience trading and hedging credit products using instruments such as CDS indices, ETFs, and cash bonds.
• Strong understanding of electronic trading venues and market structure across developed and emerging credit markets.

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

• English (Required)

• Experience building end-to-end quantitative trading platforms and systematic trading infrastructure.
• Knowledge of cloud-based data and computing environments.
• Familiarity with electronic market-making, automated execution frameworks, and liquidity provision strategies.
• Experience with Bloomberg Terminal, Bloomberg Data License, TOMS, KDB, Grafana, and other trading and analytics technologies.
• Experience onboarding trading venues and broker relationships, including platforms such as MarketAxess, Bloomberg, Tradeweb, and major inter-dealer brokers.
• Knowledge of ETF primary market processes, creation/redemption workflows, and authorized participant activities.
• Strong communication skills and the ability to collaborate across trading, quantitative, technology, risk management, and client-facing teams.

WE VALUE YOUR IMPACT