Data Analyst | Finance

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. Are you excited about leveraging your technical and analytical skills to solve complex financial challenges? Jump Trading is seeking a Data Analyst to support critical post-trade and reconciliation processes within the corporate finance function. As part of the financial analytics and solutions team, you’ll work closely with developers and finance professionals to analyze proprietary database systems, maintain data accuracy, and refine workflows that ensure operational efficiency. This high-impact role gives you the unique opportunity to contribute directly to the backend operations supporting Jump’s cutting-edge crypto trading business. By collaborating with cross-functional teams, you'll tackle meaningful challenges, improve workflows, and play a key role in ensuring operational excellence—all in a dynamic environment where precision and innovation drive success. What You'll Do Analyze Proprietary Systems: Develop a deep understanding of the crypto landscape and underlying data that powers Jump's crypto trading business. Support Post-Trade Operations: Work with internal teams to build, test, and monitor reconciliation procedures to ensure the accuracy and efficiency of post-trade systems. Investigate Data Issues: Conduct deep-dive investigations into reconciliation results and data discrepancies, proactively resolving integrity problems to minimize risk. Collaborate with Finance Teams: Partner with finance professionals to manage data workflows, monitor accuracy, and maintain ongoing improvements to proprietary tools and processes. Drive Operational Enhancements: Refine workflows, drive automation, and enhance reporting processes to improve oversight and efficiency across finance-related operations. Additional duties as required or needed. Skills You'll Need Educational Background: Bachelor’s degree in finance, accounting, data science, or a related technical field. Professional Experience: At least 3 years in a technical, data-driven role; audit experience or exposure to post-trade reconciliations is a plus. Technical Skills: Proficiency with Python for data loading and processing, basic Linux skills for troubleshooting (e.g., reviewing logs, checking configurations), and familiarity with analytics tools like Pandas or R. Experience with Databases: Demonstrated ability to work with proprietary databases or tools such as MySQL and Splunk to extract and analyze data effectively. Personal Traits: Meticulous attention to detail, excellent organizational skills, a proactive work ethic, and the ability to thrive in fast-paced and demanding environments. Reliable and predictable availability. Benefits Discretionary bonus eligibility Medical, dental, and vision insurance HSA, FSA, and Dependent Care options Employer Paid Group Term Life and AD&D Insurance Voluntary Life & AD&D insurance Paid vacation plus paid holidays Retirement plan with employer match Paid parental leave Wellness Programs Annual Base Salary Range $105,000 — $130,000 USD #J-18808-Ljbffr