Securities Finance Trader

North America - ET, Remote - United States·Posted today
cryptopythonspark
<div class="content-intro"><p><strong>Who We Are:</strong></p> <p><strong>Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure&nbsp;</strong>for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.<br><br>Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.<br><br>Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.<br><br><strong>Alpaca is proudly backed backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.</strong><br><br><strong>Our Team Members:</strong></p> <p>We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!<br><br>We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.</p></div><div class="ak-renderer-extension " data-layout="default"> <div class="ak-renderer-extension-overflow-container"> <div class="css-k008qs"> <div><strong>Your Role:</strong><br><br></div> <ul> <li>Identify and execute borrow and loan opportunities across various asset classes (equities, fixed income, ETFs) using both manual and automated trading strategies.</li> <li>Leverage Python and SQL to streamline daily tasks, develop analytical tools, and automate data-driven decisions.</li> <li>Collaborate with Product, Engineering, and Operations teams to optimize data pipelines, trading systems, operational efficiency and risk controls.</li> <li>Monitor outstanding loans, recalls, and rates to optimize risk and profitability.</li> <li>Build relationships with borrowers, lenders, custodians, and firm client partners.</li> <li>Develop and perform operational tasks, product improvements, and automation tools for optimizing costs, revenue and workflow.</li> <li>Assess and manage counterparty, credit, and market risk while staying informed of market developments and regulatory changes.</li> <li>Work with existing and new securities lending vendors on product development solutions.</li> <li>Contribute to creating automated workflow solutions for securities lending trading and operations.</li> </ul> <div><br><br><strong>Who You Are (Must-Haves):</strong><br><br></div> <ul> <li>Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field.</li> <li>1-5 years of experience in a technical or trading role, ideally with some exposure to securities lending, short selling or related experience.</li> <li>Proficient in Python and SQL.</li> <li>Strong analytical, quantitative, and problem-solving abilities.</li> <li>Familiarity with core financial instruments (equities, fixed income, ETFs) and general market mechanics.</li> <li>Excellent collaboration and communication skills to work across teams.</li> <li>High initiative and eagerness to learn about securities lending, product development, and advanced trading concepts.</li> </ul> </div> <div class="css-3nq0oi"> <div class="ak-renderer-wrapper is-undefined css-pw7jst"> <div class="css-8rlcwt"> <div class="ak-renderer-document"> <ul class="ak-ul" data-indent-level="1"> <li> <p data-renderer-start-pos="638">Assess and manage counterparty, credit, and market risk while staying informed of market developments and regulatory changes.</p> </li> <li> <p data-renderer-start-pos="767">Work with existing and new securities lending vendors on product development solutions.</p> </li> <li> <p data-renderer-start-pos="858">Contribute to creating automated workflow solutions for securities lending trading and operations.</p> </li> </ul> </div> </div> </div> </div> <div class="css-81kdnu">&nbsp;</div> <div class="css-81kdnu"><strong>Who You Are (Must-Haves):</strong></div> </div> </div> <div class="ak-renderer-extension " data-layout="default"> <div class="ak-renderer-extension-overflow-container"> <div class="css-3nq0oi"> <div class="ak-renderer-wrapper is-undefined css-pw7jst"> <div>&nbsp;</div> <div class="css-8rlcwt"> <div class="ak-renderer-document"> <ul class="ak-ul" data-indent-level="1"> <li> <p data-renderer-start-pos="3">Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Economics or a related quantitative field.</p> </li> <li> <p data-renderer-start-pos="124">0–2 years of experience in a technical or trading role, ideally with some exposure to securities lending, short selling or related experience.</p> </li> <li> <p data-renderer-start-pos="270">Proficient in Python and SQL.</p> </li> <li> <p data-renderer-start-pos="303">Strong analytical, quantitative, and problem-solving abilities.</p> </li> <li> <p data-renderer-start-pos="370">Familiarity with core financial instruments (equities, fixed income, ETFs) and general market mechanics.</p> </li> <li> <p data-renderer-start-pos="478">Excellent collaboration and communication skills to work across teams.</p> </li> <li> <p data-renderer-start-pos="552">High initiative and eagerness to learn about securities lending, product development, and advanced trading concepts.</p> </li> </ul> </div> </div> </div> </div> </div> </div><div class="content-conclusion"><h3><strong>How We Take Care of You:</strong></h3> <ul> <li style="font-weight: 400; text-align: justify;"><span style="font-weight: 400;">Competitive Salary &amp; Stock Options</span></li> <li style="text-align: justify;">Health Benefits</li> <li style="font-weight: 400; text-align: justify;"><span style="font-weight: 400;">New Hire Home-Office Setup: One-time USD $500</span></li> <li style="font-weight: 400; text-align: justify;"><span style="font-weight: 400;">Monthly Stipend: USD $150 per month via a Brex Card</span></li> </ul> <p><em><span style="font-weight: 400;">Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.<br></span></em></p> <p><span style="font-size: 8pt;"><a href="https://files.alpaca.markets/disclosures/AlpacaRecruitmentPrivacyPolicy.pdf"><em><span style="font-weight: 400;">Recruitment Privacy Policy</span></em></a></span></p></div>