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.

As a Data Analyst you will support the business through data management, analytics, and insights generation. While working directly within a trading team, you will perform research and analysis on a variety of data sources that will impact the team’s trading strategy. This role provides a unique opportunity to work directly with a trading team as well as diverse cross functional stakeholders across the firm.

What You’ll Do:

• Perform research and analyses of various third-party vendor data sources
• Conduct financial statement and corporate structure analyses of publicly traded companies
• Research SEC filings, legal documents, indentures, etc.
• Create and maintain customized data sets
• Work with technology team on development of process design and workflow, data management, etc.
• Liaise with research and trading on variety of topics
• Other duties as assigned or needed

Skills You’ll Need:

• At least 2-4 years of finance / accounting experience (public accounting or consulting experience)
• Experience with data analysis / management a plus
• Resourceful self-starter; great attention to detail; ability to multi-task
• Strong analytical skills, ability to connect dots across data sources / processes
• Ability to synthesize findings, develop action recommendations, and clearly communicate to team members and / or end users
• Strong ability to collaborate
• Experience with Microsoft Excel, etc.; Python skills a plus
• Reliable and predictable availability