Credit Algo Trader

• Develop expert-level understanding of the algorithmic trading framework's decision-making logic and parameter adjustments
• proactively monitor performance, identify issues, and collaborate with the Quant team on enhancements and optimizations
• engage with clients, sales, and traders to facilitate single bond trades, managing RFQs and executing trades
• ensure smooth operations while managing client relationships
• facilitate portfolio trades, communicate portfolio axes to clients, and manage ETF creation/redemption activities
• implement best-practice risk management techniques for responsible trading and franchise protection
• foster a positive team culture and promote responsible finance and ethical conduct
• collaborate with stakeholders to enhance operational efficiency, develop systems, and ensure compliance with regulations.

• Proven experience in credit trading, including managing risk and generating P&L, preferably as a Lead Algo Credit Trader
• deep understanding of EUR/USD corporate/government bonds, automated market-making, and related ETFs
• strong quantitative skills, including coding (Python, q/KDB, Scala preferred), mathematical modeling, and data analysis
• experience with machine learning in trading is a plus
• excellent communication, interpersonal, and stakeholder management skills, with a proven ability to build and maintain strong internal and external relationships
• comprehensive knowledge of trading systems, including Bloomberg, booking systems, trading protocols, and closing procedures
• bachelor’s degree/University degree or equivalent experience
• a Master’s degree in a relevant field is desirable.

Experience with machine learning in trading.

• 27 days annual leave (plus bank holidays)
• a discretionary annual performance-related bonus
• private medical care & life insurance
• employee assistance program
• pension plan
• paid parental leave
• special discounts for employees, family, and friends
• access to learning and development resources.