Quantitative Trading Engineer – eRisk Front Office

HSBC Group; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

HSBC Group seeks a senior quantitative trading engineer to define, develop, implement and monitor automated trading algorithms within a fast-moving front-office environment. You will apply proprietary models and statistical methods using Python, R or Matlab, with q/SQL for data access, to support pricing and risk management for complex products.

Collaborating with technology and eRisk teams, you will build robust production systems, embed governance and controls, and contribute to fair,

Qualifications

• PhD in a quantitative discipline.
• Experience in electronic trading or systematic trading preferred.
• Strong understanding of market microstructure and algorithmic trading.
• Proficiency in Python, R or Matlab for research and analysis; SQL for data access.

Responsibilities

• Define, develop, implement, maintain and monitor automated trading algorithms and strategies.
• Deliver milestones in a fast-paced front-office environment balancing research, build and production work.
• 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 related products.
• Partner with technology teams to improve systems, robustness and operational performance of the trading platform.
• Understand and manage key risks within the first line of defence and the operational risk framework.
• Communicate outcomes and constraints clearly with internal and external clients.

Skills

Python

R

Matlab

SQL

Machine learning

Statistical analysis

Education

PhD in a quantitative discipline

Tools

q

SQL

Job description

HSBC Group seeks a senior quantitative trading engineer to define, develop, implement and monitor automated trading algorithms within a fast-moving front-office environment. You will apply proprietary models and statistical methods using Python, R or Matlab, with q/SQL for data access, to support pricing and risk management for complex products.

Collaborating with technology and eRisk teams, you will build robust production systems, embed governance and controls, and contribute to fair,