Engineer - Testing

JR France; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A leading trading software provider in Paris seeks a Data Scientist to join their team. You will work on machine learning and GenAI projects, focusing on algorithmic trading products. Responsibilities include optimizing trading strategies, developing applications, and creating training simulators. Ideal candidates will have strong knowledge in machine learning, proficiency in Python, and excellent presentation skills.

Qualifications

• Strong knowledge of Machine Learning and/or GenAI.
• Experience with AI deployment technologies.

Responsabilités

• Optimize algorithmic trading using machine learning models.
• Develop GenAI applications for knowledge management.
• Create simulators for trading scenario training.

Connaissances

Machine Learning

Python

SQL

Linux

Presentation Skills

English

Outils

Docker

TensorFlow

Description du poste

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About Quod Financial

Quod Financial is a leading Trading software provider for capital markets. Our products are designed for execution and liquidity research for stock exchanges, banks, and brokers. We cover Equities, Derivatives, and Currencies, and have a presence in Asia, Europe, and the United States.

Job Description

You will join the Data Science team working on projects in Machine Learning and GenAI, focusing on our flagship algorithmic trading products and internal software engineering.

Responsibilities

1. Work on machine learning foundation models to optimize algorithmic trading, developing multiple, increasingly complex optimization scenarios.
2. Develop GenAI applications for knowledge management and code generation (software and testing).
3. Create simulators to generate environments for running trading scenarios for training and validation.
4. Present prototypes and make 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.
• Ability and willingness to work independently.