Quant Trader- Dublin at Geneva Trading

<div class="content-intro"><p><span style="font-size: 14pt;">Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.</span></p> <p>&nbsp;</p></div><p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">We are looking for Quant Traders to join our growing market-making team in Dublin. The ideal candidate has experience working at a proprietary trading firm and is looking for a position with more autonomy and the opportunity to assist with the rapid growth of a profitable trading desk.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong>How You Can Make An Impact:</strong></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Managing positions and capitalize on trading opportunities&nbsp;</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Monitor and troubleshoot our proprietary software and trading infrastructure</span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span data-contrast="auto">Analyze and model trading opportunities using real-world data.</span><span data-ccp-props="{}">&nbsp;</span></span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span data-contrast="auto">Build and enhance tools that drive trading decisions and risk management.</span><span data-ccp-props="{}">&nbsp;</span></span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span data-contrast="auto">Collaborate with traders and technologists to solve complex, high-impact problems.</span><span data-ccp-props="{}">&nbsp;</span></span></li> </ul> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong><span data-contrast="auto">What We’re Looking For:</span></strong></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span data-contrast="auto">Strong programming skills in </span><span data-contrast="auto">Python</span><span data-contrast="auto"> (or similar languages).</span> </span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Solid understanding of <span data-contrast="auto">statistics</span><span data-contrast="auto">, </span><span data-contrast="auto">probability</span><span data-contrast="auto">, and </span><span data-contrast="auto">optimization</span><span data-contrast="auto"> techniques.</span> </span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Exposure to <span data-contrast="auto">data analysis</span><span data-contrast="auto"> tools (e.g., R, MATLAB, Pandas, NumPy).</span> </span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Curiosity about <span data-contrast="auto">financial markets</span><span data-contrast="auto">, </span><span data-contrast="auto">algorithmic trading</span><span data-contrast="auto">, and </span><span data-contrast="auto">market microstructure</span><span data-contrast="auto">.</span> </span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Ability to think critically and communicate complex ideas clearly.<span data-ccp-props="{}">&nbsp;</span></span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-ccp-props="{}">Ability to work in office.&nbsp;</span></li> </ul> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><strong><span data-contrast="auto">Preferred Extras</span></strong><span data-ccp-props="{}">&nbsp;</span></span></p> <ul> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;"><span data-contrast="auto">Experience with </span><span data-contrast="auto">kdb+/q</span><span data-contrast="auto">, SQL, or other database technologies.</span> </span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Participation in <span data-contrast="auto">trading competitions</span><span data-contrast="auto">, </span><span data-contrast="auto">math contests</span><span data-contrast="auto">, </span><span data-contrast="auto">competitive gaming</span><span data-contrast="auto">, or </span><span data-contrast="auto">poker</span><span data-contrast="auto">.</span> </span></li> <li style="font-family: arial, helvetica, sans-serif; font-size: 12pt;" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span style="font-family: arial, helvetica, sans-serif; font-size: 12pt;">Familiarity with <span data-contrast="auto">machine learning</span><span data-contrast="auto"> techniques such as regression, neural networks, or SVMs.</span><span data-ccp-props="{}">&nbsp;</span></span></li> </ul> <p>&nbsp;</p><div class="content-conclusion"><p><span style="font-size: 14pt;">We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</span></p></div>