Risk Analyst
Bring independent thinking to the way we measure and manage risk. Your analysis will help teams understand exposures, improve controls and prepare for demanding market conditions.
Your work.
- Monitor market, liquidity and counterparty exposures across business lines.
- Develop stress tests and investigate unusual portfolio movements.
- Improve risk dashboards, reporting pipelines and escalation workflows.
- Work with trading and operations to review incidents and strengthen controls.
Your perspective.
- Experience in quantitative risk, financial analysis or a related technical field.
- Proficiency with Python or SQL and a careful approach to data quality.
- Understanding of derivatives, leverage and liquidity risk.
- Confidence communicating an independent view with constructive precision.
The team you’ll join.
You will work alongside colleagues who value clear thinking, useful feedback and shared ownership. Our trading, research, engineering and business teams work closely across London, Singapore and Dubai. We keep communication direct and make room for different approaches to solving a problem.
How we hire.
We start with a conversation about your experience, interests and the work you want to do. Relevant technical or practical discussions follow, giving you a clear picture of the role and the people you would work with. The process is tailored to the position, and our team will explain each step in advance.
We welcome applications from people with different backgrounds and paths into the industry. Tell us about the problems you have solved and how you think. If you need an adjustment to participate in our process, include that in your enquiry.
Good work starts here.
Think precisely.
We examine assumptions, ask direct questions and use evidence to make decisions. Clear thinking creates the foundation for useful action.
Build together.
Markets connect disciplines. So do we. Traders, engineers and researchers work closely, share context and take responsibility for collective outcomes.
Keep improving.
We learn from real results, revisit our models and invest in better tools. Small, consistent improvements compound into a meaningful advantage.