Posted on: 13/03/2026
Job Profile:
Python Engineers work on building the core operations infrastructure for the firm and automating hedge fund operations to ensure a smooth running of the firm.
Job Description:
The team is responsible for the design, development and maintenance of critical, data-driven applications which are a key component of daily trading workflow.
You will be designing and implementing various tools and processes used by Quants, Traders and Operations.
- Design and build data pipelines and workflow systems for various market data and trading systems used by various groups across the firm.
- Design and build analytical tools and reporting systems for operational and business insights.
- Collaborate closely with cross-functional teams to gather requirements and implement scalable solutions.
- Take complete ownership of projects which includes evaluating requirements, building good domain knowledge, design and code reviews for other team members, documentation, etc.
- Continuously improve and optimize existing Python codebase/processes for better performance and reliability.
Our development environment is Python-based, with cross-platform work on Linux and Windows. We utilize tools such as Docker, Git, Messaging Queues, and cloud environments like AWS to build and deploy scalable systems.
Core Skills Needed:
- Graduate from a tier 1/2 engineering institute or equivalent.
- Between 1-3 years of experience in a coding-oriented role
- Candidate should have excellent problem-solving skills, high quantitative aptitude, and ability to turnaround projects quickly.
- The candidate should have one to three years of programming experience with Python (or Java or equivalent) at a Technology or Financial firm.
- Previous Python experience is not required, although we are looking for an established track record of working on large-scale object-oriented projects.
- Solid understanding of SQL databases for managing and querying data.
- Ability to work independently and as a part of a dynamic team.
- The candidate should be willing to work in a language-agnostic environment.
- Strong communication skills in English to effectively collaborate with team members and stakeholders.
Added Advantage:
- Prior experience in full stack or front-end technologies (React-JS or similar).
- Prior experience or exposure in finance or financial technology like high-frequency trading (HFT) or quantitative finance environments.
- Experience with data processing, ETL workflows, and integration of external data sources.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1620274