Description

Overview

We are looking for a Python‑focused Quantitative Developer to support data‑driven research, model development, and tooling within a collaborative technical environment. This role sits at the intersection of engineering and analysis, contributing to the design, maintenance, and improvement of research systems, data pipelines, and modeling workflows. Ideal candidates enjoy solving complex problems, working with large datasets, and building reliable tools that empower technical teams to experiment, iterate, and generate insights.

Responsibilities

• Develop and maintain Python‑based research tools, analytics, and data processing pipelines.
• Support model development by assisting with data analysis, statistical methods, experimentation, and backtesting.
• Partner with researchers, engineers, or technical users to understand needs and translate them into practical tools or improvements.
• Implement solutions that improve data accessibility, workflow efficiency, and overall research productivity.
• Monitor and refine existing systems to ensure accuracy, reliability, and scalability.
• Contribute to the full lifecycle of research tooling, from prototyping to production‑level implementation.

Requirements

• Strong proficiency in Python, especially in data‑oriented and analytical contexts.
• Background in a technical or quantitative field (e.g., Computer Science, Mathematics, Physics, Engineering).
• Experience working with datasets, statistical analysis, or model development in any applied setting.
• Ability to work collaboratively in a small or fast‑moving technical team.
• Comfort taking ownership of projects with minimal oversight.
• Familiarity with SQL, Linux environments, scripting, or analytics tooling is helpful but not required.

Benefits

• High-impact role with ownership across tools, systems, and research initiatives.
• Fast-paced environment with meaningful autonomy and the ability to shape technical direction.
• Competitive compensation based on experience and impact.