We're looking for an experienced, detail-oriented Risk Manager to join our global team. This unique position is ideal for candidates with strong risk management skills, technical proficiency, and a readiness to contribute to the operational flow of global trading. You will be immersed in both risk management and post-trade operations, gaining broad exposure and playing a key part in the reliability and safety of our trading activity.

What You’ll Do:

• Participate in daily and real-time risk monitoring across asset classes, helping to identify, assess, and address risk exposures related to trading activities
• Use and develop your Python, SQL, and Excel skills to analyze large datasets, automate reporting, and support projects related to market risk (such as VaR, factor models, and portfolio analytics)
• Work closely with trading, technology, treasury, clearing, and compliance teams around the globe.
• Support daily clearing activities including trade reconciliation, resolving breaks, and ensuring smooth post-trade workflows across various products and venues
• Suggest enhancements to workflows and documentation, actively build your expertise, and contribute to team projects focused on continuous improvement
• Other duties as assigned or needed 

Skills You’ll Need:

• 5+ years of relevant risk management, trading, or financial operations experience, ideally at a trading firm, hedge fund, asset manager, or investment bank
• Hands-on familiarity with at least one major asset class (Equities, Treasuries, Futures, FX, or Options); willingness to expand your multi-asset risk expertise
• Strong proficiency in Excel (using pivot tables, v-lookups, etc.); experience with Python (including libraries such as Pandas, NumPy, SciPy) and SQL is highly valued
• Comfort with analyzing financial data (daily or intraday) and building tools for automation or reporting
• Effective communicator, able to explain technical and financial concepts clearly to a variety of audiences
• Self-motivated, proactive, and able to learn quickly on the job
• Bachelor’s degree in a quantitative, technical, or business field
• Reliable and predictable availability