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Quick apply
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Quant Developer Intern

Odin Capital Management Ltd.
London

Quick apply

Job details

Temporary | Full-time | Internship
£10.85 - £12.71 an hour
8 hours ago

Qualifications

System administration
Rust (programming language)
Go
Mathematics
Git
English
SQL
Docker
Virtualisation
REST
APIs
Linux
Kafka
Communication skills
Python
VPN

Full job description

About Odin

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.

The Role

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)

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.

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

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.

Pay: £10.85-£12.71 per hour

Application question(s):

Located in commutable distance to London, England, United Kingdom.
Currently pursuing or recently completed a degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Finance.
Exposure to event-driven or streaming architectures and APIs handling live or streaming data (e.g., Kafka, Redpanda, REST, WebSocket).
Experience with system administration, virtualization, containers (Docker), and networking in secure, resilient environments.
Experience with Linux and Windows environments, remote servers, and collaborative development using Git.
Interest in financial markets and quantitative finance, with familiarity with common financial instruments and basic risk/portfolio concepts.
Familiarity with databases and data storage formats (e.g., SQL, Parquet, DuckDB) and modern software engineering practices.

Language:

English (required)

Work Location: Hybrid remote in London

Quick apply

Refine Your Search

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