Associate eRisk Quant: Automated Trading & Market Making

Hsbc Global Services Limited; England; Sur place; GBP 120 000 - 180 000; Plein temps

Résumé du poste

HSBC is seeking a highly skilled quantitative professional to join the eRisk systematic trading quant team in the UK. You will define, develop and monitor automated trading algorithms and strategies, applying Python, R or Matlab and SQL to research, validate models and deploy production-grade components in a front-office setting.

The role emphasizes robust research-led models, strong governance, risk awareness and collaboration with technology teams to enhance the trading platform and deliver

Qualifications

• PhD in a quantitative discipline required.
• Deep understanding of market microstructure and algorithmic trading.
• Strong ability to develop and validate models and algorithms.
• Experience with statistical analysis and research practices.
• Exposure to AI and machine learning methods.

Responsabilités

• Own the definition, development, implementation, maintenance and performance monitoring of automated trading algorithms and strategies.
• Deliver milestones in a fast-paced front office environment balancing research, build and production priorities.
• Apply programming languages for statistical analysis and research including Python, R or Matlab and use q or SQL for data access.
• Implement production-grade components using Java where required to support automated trading deployment.
• Evaluate market microstructure and scientific fundamentals of algorithmic trading across FX or other products.
• Partner with technology teams to improve systems and technical solutions and operational robustness.
• Understand and manage key risks within the First Line of Defence framework.
• Build effective relationships with internal and external clients and communicate outcomes clearly.
• Embed governance controls and escalation paths in day-to-day delivery.
• Act in customers’ best interests while adhering to HSBC values and risk frameworks.

Connaissances

Python

R

Matlab

SQL

Statistical analysis

AI/ML concepts

Formation

PhD in quantitative discipline

Outils

KDB+/q

Description du poste

HSBC is seeking a highly skilled quantitative professional to join the eRisk systematic trading quant team in the UK. You will define, develop and monitor automated trading algorithms and strategies, applying Python, R or Matlab and SQL to research, validate models and deploy production-grade components in a front-office setting.

The role emphasizes robust research-led models, strong governance, risk awareness and collaboration with technology teams to enhance the trading platform and deliver