Quantitative Developer Intern

**Role Overview**:
We are seeking a highly motivated and analytical individual to join our team as a **Quantitative Developer Intern**. This role offers hands-on experience in the development of trading infrastructure, data systems, and internal tools that power decision-making and execution across the firm. We also offer interns the opportunity to convert to a full-time role with an attractive salary based on performance.

You’ll work on a **live, modular Python backend**, a **React-based internal dashboard**, and various services that support both our trading team and research analysts. You'll also get a front-row seat to how data flows through a quant firm — from raw ingestion to real-time visualization.

This internship provides real-world exposure to full-stack development within a high-impact, production-oriented setting.

**Key Responsibilities**:

- Develop and maintain backend APIs using **Python/C#**to support trading and data workflows
- Extend and enhance our **React frontend**to visualize market data, analytics, and system status
- Work on **ETL processes**for financial data — loading, transforming, and serving from SQL databases
- Help evolve our **domain-driven service layer**that powers trading and reporting operations
- Build and schedule automation scripts on **Linux servers**for reporting and operational tasks
- Collaborate with senior engineers to design clean, maintainable systems and features

**Requirements**:

- Currently pursuing a Bachelor's or Master's in **Computer Science**, **Finance**, **Engineering**, or a related field
- Good understanding of **object-oriented programming**(Python or C#)
- Familiarity with **SQL/NoSQL databases**and general database concepts
- Some experience with **JavaScript/TypeScript**and a modern frontend framework like **React**:

- Some understanding of frontend/backend communication like **REST APIs, JSON, HTTP methods**:

- Basic knowledge of **Linux/Unix**and shell scripting
- A strong desire to learn about **financial markets**, system design, and production engineering

**Preferred Qualifications**
- Experience with Git, GitHub, Jira, or similar tools
- Understanding of modern cloud services
- Exposure to **Docker**, **Kubernetes**, or CI/CD pipelines
- Good art taste, familiarity with **React libraries**:

- Interest in data visualization, time series, or analytics dashboards

**What We Offer**
- 1-on-1 mentorship from senior developers and quants
- Full-stack experience in a **live quant production system**:

- Contribution to tools used for **real trading, reporting, and analytics**:

- Insight into how data engineering, finance, and dev tooling intersect
- Potential full-time conversion opportunity for high performers
- A collaborative, feedback-driven team culture that prioritizes learning and ownership
- Opportunity to convert to full-time

**Why This Internship is Unique**

This is not a siloed internship or tutorial project — you’ll contribute to **real-world infrastructure**alongside professionals. Whether you’re optimizing a backend data flow or debugging a React dashboard, you'll see your work reflected in a real system that supports active trading and research.

We don’t expect you to know everything upfront — **you will not be working alone or expected to master the full stack**. Instead, we assign responsibilities based on **your skillset and interests**, whether you're more backend-focused, frontend-curious, or eager to explore both. Our goal is to help you grow into the strongest version of the engineer you want to become.

You might know Python but not React. Or you’ve built SQL pipelines but never touched Docker. That’s okay.

**We assign tasks based on your existing skillset and learning goals**, and provide mentorship to help you grow step by step. Our goal is to help you become the strongest version of the engineer you want to become — with full support, not pressure.

If you’re curious, willing to learn, and excited to contribute to meaningful work — we want to hear from you.