Python Developer
1 month ago
Our client is a leading quantitative investment company with a focus on computer-driven trading for global financial markets utilizing the firm’s proprietary, state-of-the-art technology & data platform. They company harnesses the power of data and advanced technologies to drive innovative strategies and superior investment returns. We are now seeking an exceptional Software Engineer to join their busy, growing, and successful team.
Python Software Engineer
Manhattan, NY
4 days on site, 1 remote
$110-175K plus $50-100k bonus
You must be a US citizenship, Green Card holder or transfer of a current H-1B Visa is also available if required.
To be successful in this role:
You will be a confident Software Engineer with 2-4 years experience and the following required skills, qualifications and experience:
- Undergraduate degree in CS, EE, or a related field from a university in the US
- Two years professional experience in software engineering
- Two years experience of designing Python infrastructure and coding
- Programming experience in Python (relational databases and SQL a plus)
- Experience moving data to the cloud
- Ability to lead a project
- While a background in finance is beneficial, it is not mandatory
Position summary:
This role offers a unique opportunity to work at the forefront of systematic trading, where innovation and quantitative analysis intersect. The company is passionate about implementing scientific and mathematical methods to explore and solve problems in the global financial markets. If you thrive in a fast-paced, data-driven environment, we encourage you to apply.
Job role and responsibilities:
As a Software Engineer, you will join the Core Technology team as a key player in building and scaling the company’s central infrastructure, participating in greenfield projects as well as enhancing existing systems. As part of a small, focused team, you will report directly to the Co-CTOs and will collaborate closely with team members and end users, having immediate firmwide impact and gaining exposure to all areas of the firm such as data, research, operations, and risk.
Key responsibilities for this role include:
- Develop efficient, scalable data and research infrastructure
- Implement robust workflows for processing structured and unstructured financial datasets
- Contribute to internal microservice-based infrastructure platform
- Develop web-based tools for internal teams and users
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