Python Developer

We’re seeking a

Senior Python Developer

to join our Quantitative Research team, where you will design and deliver high-performance, data-driven applications that empower investment strategies.

In this role, you will collaborate closely with quantitative researchers, portfolio managers, and fellow data engineers to develop scalable tools, APIs, and platforms that transform raw data into actionable insights. This is an opportunity to apply your software engineering expertise to real-world quantitative problems, directly influencing research workflows and portfolio decision‑making.

Key Responsibilities

Partner with researchers to translate quantitative models and analytics into production‑ready tools.

Apply strong knowledge of algorithms, data structures, and software engineering principles to deliver clean, efficient, and maintainable code.

Enforce best practices in code quality, version control, and secure development (PEP8, OWASP, CERT).

Support the software development lifecycle (SDLC) from design and testing to deployment and post‑production support.

Manage code through Git‑based version control and automated CI / CD pipelines.

Work with Azure Databricks, Azure Data Storage, Delta Lake, and Azure Key Vault to integrate, secure, and manage large‑scale data assets.

Collaborate cross‑functionally to troubleshoot, optimize, and enhance system performance and reliability.

Qualifications

Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field.

5+ years of professional software development experience, ideally in a data‑driven or research‑intensive environment.

Strong proficiency in Python, including frameworks such as Flask or Django.

Advanced SQL skills and experience with relational database design and optimization.

Working knowledge of Azure cloud services, including Databricks, Data Storage, Delta Lake, and Key Vault.

Solid grasp of algorithms, data structures, and design patterns.

Familiarity with Git, CI / CD practices, and DevOps pipelines.

Excellent communication and collaboration skills, with the ability to translate complex technical concepts for non-technical audiences.

Experience in financial technology, quantitative research, or investment systems is a strong asset.

Why Join Us

Collaborate with top‑tier quantitative and data science professionals.

Work on cutting‑edge projects at the intersection of finance, data, and technology.

Competitive compensation, performance incentives, and growth opportunities.

Flexible hybrid work environment with modern tools and cloud-native architecture.

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