Financial Data Analyst - Paid Apprenticeship

Position Summary

We are a quantitative investment firm applying data science, technology, and rigorous research to identify inefficiencies across global markets. Our approach combines systematic methods with deep domain expertise to extract signal from complex and often unstructured datasets.

We are seeking a Financial Data Analyst Apprentice to join our team. This is a paid apprenticeship designed for individuals looking to build a strong foundation in financial data, analytics, and quantitative research within a fast-paced, research-driven environment.

In this role, you will work alongside experienced researchers, data analysts, and engineers to support the sourcing, structuring, and analysis of financial and alternative datasets. You will gain hands-on experience transforming raw data into usable insights that directly contribute to investment research and strategy development.

This position is ideal for candidates who are highly curious, detail-oriented, and motivated to develop practical skills at the intersection of finance, data, and technology.

Responsibilities

• Assist in sourcing, cleaning, and maintaining financial and alternative datasets

• Support the development of data pipelines and workflows to improve data quality and accessibility

• Transform raw data into structured, analysis-ready formats for internal use

• Conduct exploratory data analysis to identify trends, inconsistencies, and potential insights

• Work with researchers to support the development and refinement of datasets used in models

• Monitor data quality and assist in implementing validation and quality control processes

• Help integrate external data sources, APIs, and datasets into internal systems

• Contribute to the development of internal tools, reports, and dashboards

• Document datasets and workflows to support transparency and scalability

Qualifications

• Strong interest in financial markets, data analysis, or quantitative research

• Basic proficiency in Python and/or SQL (or strong willingness to learn quickly)

• Familiarity with Excel and data manipulation concepts

• Strong attention to detail and problem-solving ability

• Intellectual curiosity and a proactive approach to learning

• Ability to work both independently and collaboratively

• Currently studying or recently graduated in a quantitative or analytical field (e.g., economics, mathematics, computer science, engineering) is a plus, but not required

What We Offer

• Paid apprenticeship with hands-on training and mentorship

• Direct exposure to real-world financial data and research workflows

• Opportunity to develop practical skills in Python, data analysis, and financial markets

• Clear pathway to a full-time role based on performance

• Support for continued learning and professional development

• A collaborative and fast-paced environment at the intersection of finance and technology

Equal Opportunity

We are proud to be an equal opportunity workplace and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability status, or any other protected characteristic.