OpenFX is a fintech infrastructure startup that provides a stablecoin-native network and API-based solutions for instant, 24/7 cross-border foreign exchange and payments.
<p><strong>About Us</strong></p> <p>OpenFX is on a mission to <strong>move money as freely as data, unrestricted by time zones, banking hours, or legacy systems.</strong> We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX and other top-tier investors.</p> <p><strong>Role Overview</strong></p> <p>We are seeking a talented <strong>Data Science & Analytics Lead</strong> to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li><strong>Data Infrastructure & Governance:</strong> <ul> <li>Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.</li> <li>Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.</li> </ul> </li> <li><strong>Business Intelligence & Insights:</strong> <ul> <li>Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.</li> <li>Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.</li> <li>Analyze user behavior and transaction patterns to drive growth strategies.</li> </ul> </li> <li><strong>Risk & Financial Analytics:</strong> <ul> <li>Build analytics models for pricing optimization and financial planning.</li> <li>Create risk monitoring systems and fraud detection analytics to ensure platform security.</li> </ul> </li> <li><strong>Strategic Partnership & Team Leadership:</strong> <ul> <li>Partner with leadership to provide data-driven insights for strategic decision-making.</li> <li>Build, manage, and mentor a high-performing team of analysts as the organization scales.</li> </ul> </li> </ul> <p><strong>What we are looking for</strong></p> <p><strong>Must-haves:</strong></p> <ul> <li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li> <li>6+ years of experience in analytics or data science roles.</li> <li>Strong programming skills in Python and SQL.</li> <li>Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).</li> <li>Proven experience building and maintaining large-scale data pipelines.</li> <li>Excellent communication skills with the ability to present complex data to non-technical stakeholders.</li> <li>Strong problem-solving skills and meticulous attention to detail.</li> </ul> <p><strong>What helps you stand out:</strong></p> <ul> <li>A Master's degree in a relevant field.</li> <li>Experience in a fintech or financial services environment.</li> <li>Direct experience with crypto/blockchain analytics.</li> <li>Startup experience is highly preferred.</li> <li>Expertise with data visualization tools like Tableau or Looker.</li> </ul> <p><strong>What We Offer</strong></p> <ul> <li>Competitive salary and benefits package.</li> <li>Equity in a rapidly growing company.</li> <li>Opportunity to work in a fast-paced startup at the forefront of fintech innovation.</li> <li>Opportunity to make a significant impact on global financial infrastructure</li> <li>Collaborative work culture with emphasis on personal and professional growth.</li> </ul> <p>We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. </p>