Data Analyst – Mid/Back Office Tech Team Chicago Office

Geneva Trading; Chicago, Northern (IL, KY); Hybrid; USD 80,000 - 100,000; Full time

Job summary

Geneva Trading in Chicago seeks a Data Analyst in the Mid/Back Office Tech Team to design, develop, and transform data for Qlik Sense dashboards and related BI outputs.

You will collaborate with the core development team to build backend services supporting the full trade lifecycle, ensuring accurate data flow from front-office systems through middle and back-office platforms, while optimizing performance and reliability in a fast-paced trading environment.

Qualifications

• Academic degree in Computer Science or another STEM-related field.
• 2+ years of experience as a Data Analyst or Data Engineer.
• Strong SQL and programming skills.
• Experience with BI dashboards and self-service analytics.
• Experience with end-to-end software lifecycle and deployments.
• Excellent communication in fast-paced trading environments.
• Ability to work independently and in a team.

Responsibilities

• Lead Qlik Sense dashboard design, development, and data load transformations for middle and back-office.
• Own the audit trail reporting and manage daily third-party reporting.
• Develop backend services to support the full trade lifecycle.
• Ensure accurate data flow between front-office and middle/back-office systems.
• Support production systems and improve performance, reliability, and observability.

Skills

SQL

Programming

Data analysis

Communication

Independent work

Education

BSc in Computer Science or STEM

Tools

Qlik Sense

SQL databases

Job description

Chicago Office

Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.

Position Summary

As a Data Analyst in the Mid/Back Office Tech Team, your primary impact will center onQlik Sense dashboard design, development, and data load transformations.

In addition to core business intelligence responsibilities, you will work closely withthe core development teamto build and optimize backend services supporting the full trade lifecycle, ensuring seamless data flow from front-office trading systems straight through to middle and back-office platforms.

Key Responsibilities

Qlik & Business Intelligence Development (Core Focus)

• Lead Qlik Sense dashboard design, development, and data load transformations tailored for middle and back-office groups, including accounting and compliance.
• Own the audit trail reporting function for the firm, including the management, maintenance, reconciliation, and optimization of daily reporting to 3rd parties.
• The ideal candidate has prior experience with the implementation of efficient business intelligence and compliance data processes and a track record of ensuring that reports are completed with the highest accuracy and quality within deadlines.
• Develop and maintain backend services that support the full trade lifecycle, including trade capture, reconciliation, P&L, settlements, and accounting feeds.
• Ensure accurate and reliable data flow between front-office trading systems and middle/back-office platforms.

System Optimization & Operations

• Support production systems and help resolve time-sensitive, high-pressure issues.
• Improve system performance, reliability, and observability through testing, monitoring, and automation.

Required Skills & Experience

• Academic degree in Computer Science or another STEM-related field of study.
• 2+ years of experience as a Data Analyst or Data Engineer.
• Strong programming and data-querying skills, withstrong expertise in advanced SQL andone or more general-purpose programming languages.
• Strong understanding of relational databases, data modeling, data quality, and performance optimization.
• Experience developing business intelligence dashboards, operational reports, and self-service analytics solutions using a modern visualization platform.
• Proven familiarity with the end-to-end software development lifecycle from version control and automated testing to containerized deployments, system monitoring, and ongoing production support.
• Excellent communication skills and the ability to operate effectively in a fast-paced trading environment.
• Self-starter with a proven ability to work well independently and in a team environment.
• Ability to plan and prioritize time to meet strict deadlines.

Nice to Have

• Experience supporting systems or data processes across a complete operational lifecycle, such as trade capture, reconciliation, profit and loss, settlement, accounting, or regulatory reporting.
• Experience in trading, financial services, regulated industries, or another environmentrequiring high accuracy, reliability, and auditability.
• Exposure to artificial intelligence or machine learning, particularly for workflow automation, anomaly detection, data-quality monitoring, or intelligent reporting.

Compensation

Base Salary Range: $80,000 - $100,000, plus eligibility for a performance-based bonus.

Final compensation will bedeterminedbased on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 9/01/2026

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.