Odin Capital Management
Quant Developer Intern
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Company Description
Odin Capital Management Ltd is an FCA-regulated investment management firm based in London. The firm specialises in hedge funds and alternative investment solutions for professional clients.
Role Description
The intern will enhance risk and reporting systems, document processes, and contribute to continuous improvement of the firm’s quantitative infrastructure.
The Intern Quant Developer will have strong Python programming skills, familiarity with modern software engineering practices, and an interest in quantitative finance and financial markets. You will contribute to the development of high-performance, secure, and data-driven systems using technologies such as APIs, streaming data, containers, databases, and AI-powered development tools.
Required Skills
- Strong proficiency in Python.
- Comfortable working in Linux and Microsoft environments and with remote servers.
- Good command of Git and collaborative development workflows.
- Exposure to event-driven or streaming architectures (Kafka, Redpanda).
- Exposure APIs and experience with live or streaming data (REST, WebSocket).
- System administration, virtualization, containers (Docker), networking.
- Deep understanding of operationally resilient platforms and highly secure environments.
- Strong interpersonal and communication skills (English required).
- Currently pursuing or recently completed a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, or Finance).
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Desirable Skills
Finance & Quantitative
- Interest in financial markets and quantitative finance.
- Knowledge of financial instruments (equities, bonds, ETFs, options, futures).
- Understanding of risk, portfolio optimization, statistics, or econometrics.
- Knowledge of market connectivity protocols (FIX) and brokers.
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Engineering & Data
- Familiarity with databases and storage formats (SQL, Parquet, DuckDB).
- A systems language (Rust, Go) for performance-critical components.
- Experience deploying models to production and monitoring them.
- Clear technical documentation and clean architecture.
Infrastructure & Security
- Security awareness (VPN, zero-trust, access management).
- Cloud, CI/CD, monitoring, and observability experience.
Tooling
- Daily use of AI development tools (Claude Code, Cursor, Codex).
What You’ll Gain
- Practical experience in a regulated financial firm.
- Mentorship from experienced professionals.
- One or more solid projects for your CV or portfolio.
To Apply
Please send via LinkedIn:
- A short note on why this role excites you.
- Any relevant academic or personal projects (GitHub, Notion, etc.).
- Your availability and minimum/maximum internship length.
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