Python Developer / Data Scientist job at Cabrera Capital Markets Chicago, IL, US

Job Description

Position Summary & Purpose We are seeking a highly motivated and detail-oriented Python Developer / Data Scientist to join our growing team. This entry-level position is ideal for someone passionate about working with data, automating processes, and supporting core financial and operational functions across the firm. You’ll have the opportunity to work across teams — including Equities, Fixed Income, Municipal Bonds, Origination & Investment Banking, Accounting, Operations, and Management — building tools, automating reports, and driving data-driven efficiency. Essential Duties And Responsibilities

Bachelor’s degree in: Computer Science / Mathematics / Economics / Engineering
Strong programming skills in Python, especially with Pandas, NumPy, and scripting for automation.
Working knowledge of SQL for querying structured databases.
Proficient in Excel (formulas, pivot tables; VBA is a plus).
Ability to build clean, clear, and insightful visualizations.
Strong analytical mindset with attention to detail and data accuracy.
Develop python-based tools to automate workflows and improve data accuracy across business units.
Use pandas, numpy, and sql for data manipulation and analysis.
Create and maintain excel reports and dashboards to support trading, operations, and management.
Build data visualizations (matplotlib, seaborn, plotly) to communicate trends and performance insights.
Support the equity, fixed income, munis, and origination / investment banking teams with data analysis and reporting needs.
Collaborate with accounting and operations teams to streamline internal tools and reporting processes.
Assist management in developing high-level business reports, kpis, and performance summaries.
Contribute to internal data documentation, code management, and process standardization.
Clear communication and collaboration skills.
Eagerness to learn business workflows in financial environments.

Preferred / Nice-to-Have Skills

Exposure to or interest in machine learning techniques
Background or coursework in quantitative finance, trading, or financial modeling.
Basic knowledge of C++ or experience in performance-sensitive environments.
Experience using Jupyter, Git, or similar collaborative tools.
Familiarity with financial markets and products is a plus.
All other duties as assigned

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