Global Trading Oversight Analyst - Python & Risk

Bowden Brown

England

On-site

GBP 80,000 - 120,000

Full time

7 days ago
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Job summary

Bowden Brown is establishing a centralized global trading oversight team to support its systematic strategies around the clock, combining live trading supervision, risk monitoring and operational problem-solving. You will work with trading, technology and operations to keep strategies running smoothly.

The role has a strong technical element; you will be encouraged to use Python to automate processes and improve monitoring tools.

Qualifications

  • Degree in a quantitative, technical or closely related subject.
  • Practical Python programming skills are a must have.
  • Strong judgement and the ability to stay composed when responding to live issues.
  • Clear communication across regions and teams.
  • Proactive approach to identifying and improving inefficient processes.

Responsibilities

  • Monitoring live positions, P&L, exposures and risk limits.
  • Investigating trading alerts and escalating issues appropriately.
  • Overseeing the health and performance of systematic strategies.
  • Carrying out hedging, trade booking and other time-sensitive actions.
  • Supporting position rolls, option expiries and corporate actions.
  • Acting as a point of contact for internal teams and market counterparties.
  • Developing scripts and tools to improve monitoring and operational workflows.
  • Supporting the launch and ongoing coverage of new products and markets.

Skills

Python programming
Live trading monitoring
Risk monitoring
Problem solving
Communication

Education

Quantitative/Technical degree

Job description

Bowden Brown is establishing a centralized global trading oversight team to support its systematic strategies around the clock, combining live trading supervision, risk monitoring and operational problem-solving. You will work with trading, technology and operations to keep strategies running smoothly.

The role has a strong technical element; you will be encouraged to use Python to automate processes and improve monitoring tools.

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