Engineer, Software W / M

Quod Financial; Paris; Sur place; EUR 50 000 - 90 000; Plein temps

Résumé du poste

An established industry player in trading software is seeking a talented Software Engineer to join their Data Science team in Paris. In this exciting role, you will work on cutting-edge projects involving Machine Learning and Generative AI, focusing on optimizing algorithmic trading products. Your contributions will include developing foundational models, creating complex optimization scenarios, and utilizing GenAI for innovative code generation. If you are passionate about technology and eager to make a significant impact in the capital markets, this opportunity is perfect for you.

Qualifications

• Starke Kenntnisse in Machine Learning und GenAI.
• Erfahrung mit der Entwicklung von Modellen zur Optimierung des algorithmischen Handels.

Responsabilités

• Entwicklung von Machine Learning-Modellen zur Optimierung des algorithmischen Handels.
• Erstellung von Simulationsumgebungen zur Validierung von Handelszenarien.

Connaissances

Machine Learning

Python

SQL

Linux

Presentation Skills

Outils

Docker

TensorFlow

Description du poste

Quod Financial is a leading provider of trading software for capital markets. Our products facilitate execution and liquidity research for stock exchanges, banks, and brokers. We cover equities, derivatives, and currencies, with a presence across Asia, Europe, and the United States.

Job Description

You will join the Data Science team working on projects involving Machine Learning and Generative AI (GenAI). Your work will focus on our flagship algorithmic trading products as well as internal software engineering. Your responsibilities include:

1. Developing machine learning foundation models to optimize algorithmic trading.
2. Creating multiple optimization scenarios with increasing complexity.
3. Applying GenAI for knowledge management and code generation (software and testing).
4. Developing simulators to create environments for training and validating trading scenarios.
5. Presenting prototypes and making informed decisions based on your work.

Qualifications

• Strong knowledge of Machine Learning, including foundational mathematics, and/or GenAI.
• Proficiency in Python.
• Knowledge of SQL and basic Linux commands.
• Experience with AI deployment technologies such as Docker and TensorFlow.
• Excellent presentation skills.
• Fluent in English.
• Independent and self-motivated work ethic.

Location

Software Engineer • Paris, Île-de-France, France