Clara is a Mexico-based fintech that provides corporate cards and AI-powered spend-management software to medium and large enterprises across Latin America.
<div class="content-intro"><h2><strong data-start="314" data-end="386">Ready to accelerate your career?</strong></h2> <div> <p data-start="563" data-end="823">Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.</p> <p data-start="563" data-end="823">Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices. <br><br>We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.</p> </div></div><p><strong>Disclaimer: This role is open to all candidates across LATAM, not just posting location.</strong></p> <p><strong>Job Description:</strong></p> <p>Lead and inspire a high-performing team of data scientists in developing advanced algorithms, constructing robust data models, and conducting predictive analysis. This role works closely with credit risk and fraud teams to contribute to strategic data initiatives, fostering continuous improvement and leveraging insights to enhance decision-making. With a strong focus on innovation and business impact, you will shape the company’s analytical strategy, driving data-driven transformation and positioning analytics as a key business enabler.</p> <p><strong data-stringify-type="bold">Responsibilities:</strong></p> <ul> <li>Leadership and management of a high-performing data science team, fostering a culture of innovation and excellence.</li> <li>Driving innovative data science initiatives to transform strategic decision-making and enhance business efficiency.</li> <li>Development and implementation of advanced algorithms to solve complex challenges.</li> <li>Designing and optimizing scalable data models to drive actionable insights and long-term value.</li> <li>Conducting predictive analysis to uncover business opportunities and mitigate risks.</li> <li>Collaboration with cross-functional teams and key stakeholders to align data strategies with business goals.</li> <li>Leading strategic planning for data-driven initiatives with a strong focus on impact and business transformation.</li> <li>Providing mentorship, training, and career development opportunities for the team.</li> <li>Identifying and executing process improvements that enhance operational efficiency and model performance.</li> <li>Effectively communicating data-driven insights and recommendations to influence key business decisions.</li> </ul> <p><strong data-stringify-type="bold">Skills:</strong></p> <ul> <li>Proven leadership in high-impact data science teams, fostering innovation and excellence.</li> <li>Project oversight and coordination for end-to-end data science projects.</li> <li>Experience driving data-driven strategies in Credit Risk and Fraud, enhancing detection and mitigation.</li> <li>Expertise in developing and implementing advanced machine learning algorithms.</li> <li>Proficiency in designing and scaling robust, high-performance data models.</li> <li>Strong experience in predictive analytics to uncover trends and drive business decisions.</li> <li>Effective collaboration with cross-functional teams using modern collaboration tools.</li> <li>Strategic planning for data initiatives with a focus on business transformation.</li> <li>Mentoring and upskilling team members to elevate technical expertise and business impact.</li> <li>Proactive identification and execution of data-driven process optimizations.</li> <li>Clear and persuasive communication of complex data insights to senior stakeholders.</li> </ul> <p> </p><div class="content-conclusion"><h2 data-start="172" data-end="190"><strong data-start="172" data-end="190">Why join Clara</strong></h2> <p data-start="192" data-end="352">At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.</p> <h4 data-start="354" data-end="368"><strong data-start="354" data-end="368">Who we are</strong></h4> <ul data-start="370" data-end="902"> <li data-start="370" data-end="446"> <p data-start="372" data-end="446">We’re the leading <strong data-start="390" data-end="426">B2B fintech for spend management</strong> in Latin America.</p> </li> <li data-start="447" data-end="568"> <p data-start="449" data-end="568">Certified as one of the world's fastest-growing companies, a <strong data-start="510" data-end="533">Great Place to Work</strong>, and a <strong data-start="541" data-end="565">LinkedIn Top Startup</strong>.</p> </li> <li data-start="569" data-end="643"> <p data-start="571" data-end="643">Passionate about making Latin America more prosperous and competitive.</p> </li> <li data-start="644" data-end="749"> <p data-start="646" data-end="749">Constantly innovating to build financial infrastructure that enables each of our customers to thrive.</p> </li> <li data-start="750" data-end="837"> <p data-start="752" data-end="837">Product-led, high-talent-density culture — designed for builders who raise the bar.</p> </li> <li data-start="838" data-end="902"> <p data-start="840" data-end="902">Proud of our open, inclusive, and values-driven environment.</p> </li> </ul> <h4 data-start="904" data-end="926"><strong data-start="904" data-end="926">What we