Risk Manager (Weekend support) at Jump Trading

<p>Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.</p> <p><span data-contrast="none">We're looking for an experienced, detail-oriented Risk Associate 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.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="none">This is a 4-day workweek role, with one weekend day (Saturday or Sunday) as part of your schedule. During onboarding and training, you’ll initially work a standard Monday–Friday week before transitioning to the 4-day schedule (Wednesday–Saturday or Sunday–Wednesday). Candidates must be comfortable with and prepared for this arrangement. Flexibility and reliability to support weekend trading are essential to success in this role.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong><span data-contrast="none">What You’ll Do:</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li><span data-contrast="none">Participate in daily and real-time risk monitoring across asset classes, helping to identify, assess, and address risk exposures related to trading activities</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">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)</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Work closely with trading, technology, treasury, clearing, and compliance teams around the globe.&nbsp;</span></li> <li><span data-contrast="none">Support daily clearing activities including trade reconciliation, resolving breaks, and ensuring smooth post-trade workflows across various products and venues</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Suggest enhancements to workflows and documentation, actively build your expertise, and contribute to team projects focused on continuous improvement</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Other duties as assigned or needed&nbsp;</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none">Skills You’ll Need:</span></strong><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li><span data-contrast="none">5+ years of relevant risk management, trading, or financial operations experience, ideally at a trading firm, hedge fund, asset manager, or investment bank</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Hands-on familiarity with at least one major asset class (Equities, Treasuries, Futures, FX, or Options); willingness to expand your multi-asset risk expertise</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">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</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Comfort with analyzing financial data (daily or intraday) and building tools for automation or reporting</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Effective communicator, able to explain technical and financial concepts clearly to a variety of audiences</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Self-motivated, proactive, and able to learn quickly on the job</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Bachelor’s degree in a quantitative, technical, or business field</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Reliable and predictable availability</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="none">Bonus Points:</span></strong><span data-ccp-props="{&quot;335559685&quot;:0}">&nbsp;</span></p> <ul> <li><span data-contrast="none">Experience with post-trade clearing systems or break resolution</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Familiarity with risk modeling or analytics (such as VaR, factor models, or portfolio analysis)</span><span data-ccp-props="{}">&nbsp;</span></li> <li><span data-contrast="none">Experience with Linux/Unix environments or in 24/7 trading operations</span><span data-ccp-props="{}">&nbsp;</span></li> </ul>