Engineer Software

JR France; Les Ulis; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

A leading technology company is seeking a Data Scientist to join their Data Science team. This role focuses on Machine Learning and GenAI applications, with responsibilities including developing machine learning models, creating trading simulators, and optimizing algorithmic trading strategies. Ideal candidates will possess strong programming skills in Python and experience with AI technologies, willing to work independently and present their findings effectively.

Qualifications

• Solid knowledge of Machine Learning (foundational mathematics) and/or GenAI.
• Proficiency in Python and experience with Docker, TensorFlow.
• Excellent presentation skills and fluent English.

Responsabilités

• Develop machine learning foundation models for optimizing algorithmic trading.
• Work on GenAI applications for knowledge management and code generation.
• Develop simulators for running trading scenarios for training and validation.

Connaissances

Machine Learning

GenAI

Python

SQL

Linux

AI Deployment Technologies

Presentation Skills

Fluency in English

Outils

Docker

TensorFlow

Description du poste

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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. Quod Financial's solutions cover equities, derivatives, and currencies. We are present 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.

Your responsibilities include:

1. Developing machine learning foundation models for optimizing algorithmic trading, including creating multiple, increasingly complex optimization scenarios.
2. Working on GenAI applications for knowledge management and code generation (software and testing).
3. Developing simulators to create environments for running trading scenarios for training and validation.
4. Presenting prototypes and making data-driven decisions.

Qualifications

• Solid 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 English.
• Willingness and ability to work independently.