Job Description

:

As a Quant Software Devloper (ML stream), you will work as a developer on the ML team to help solve real-world, applied finance problems in code. You will play a key role in expanding and enhancing their core systems platform (research and execution). The ideal candidate has experience working on a team to develop software for large-scale quantitative finance applications. This team member is someone who is motivated, is self-aware, and collaborates well.

Responsibilities

• Work directly with technical stakeholders to research and develop portfolio construction techniques that our clients use to tackle complex problems.

• Contribute high-quality, production code to the development of internal quant codebases.

• Solve analytically challenging problems to drive portfolio performance.

• Collaborate with web developers, cloud engineers, and data engineers to integrate their applications into the larger ecosystem.

• Play a part in the shared monitoring, support, and maintenance of existing applications.

• BS or MS in financial engineering, computer science or engineering.

• 2+ years experience as a developer in investment management, banking, or fintech.

• 2+ years working in Python with scientific libraries (NumPy, Pandas, SciPy, Scikit-learn).

• Knowledge of the financial markets, portfolio construction, and quantitative approaches.

• Understanding of large-scale software code best practices (OOP, design patterns).

• Experience with production software development tools (Git, AWS, Jira, Agile).

• Exposure to traditional statistics, artificial intelligence, and machine learning in finance.

• Ability to work in a team environment and communicate effectively with team members, managers, and other colleagues.

Calli\xc3\xa8re Group