Data Analyst | Finance

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

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 youll 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 Jumps cutting-edge crypto trading business. By collaborating with cross-functional teams youll tackle meaningful challenges improve workflows and play a key role in ensuring operational excellenceall in a dynamic environment where precision and innovation drive success.

What Youll Do:

Analyze Proprietary Systems: Develop a deep understanding of the crypto landscape and underlying data that powers Jumps 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 Youll Need:

Educational Background: Bachelors 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

$105000$130000 USD

Required Experience:

What Youll Do:

Analyze Proprietary Systems: Develop a deep understanding of the crypto landscape and underlying data that powers Jumps 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 Youll Need:

Educational Background: Bachelors 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.