About the AI/ML Engineer – Paris Role
Quod Financial is hiring an AI/ML Engineer – Paris to join its Data Science team, focusing on cutting-edge GenAI and machine learning R&D for real-time trading systems.
As a member of this team, you will help shape the future of algorithmic trading by developing intelligent products powered by large-scale simulation, training, and ML optimization. You’ll collaborate with product and engineering teams, yet retain autonomy to research, test, and present high-impact ideas.
This full-time, on-site role is ideal for someone ready to push the boundaries of AI/ML in the FinTech space.
Responsibilities
- Develop GenAI-driven features for trading decisions, trade/execution reporting, and smart automation.
- Design and improve ML-based optimization models for algorithmic trading workflows.
- Build simulation environments for model training and validation of multiple trading scenarios.
- Present prototypes, explain technical decisions, and contribute to product evolution.
- Work independently while coordinating closely with other data science, software, and product teams.
Requirement
- Strong background in machine learning theory (math, statistics) and/or GenAI applications.
- Hands-on experience in Python, especially for ML prototyping and automation.
- Familiarity with Linux command-line usage and SQL for data interaction.
- Experience with AI/ML tools like TensorFlow, Docker, or similar deployment stacks.
- Fluent English communication and presentation skills.
- A self-driven, independent mindset with strong problem-solving abilities.
Nice-to-Have Skills
- Experience with LLMs, prompt engineering, or foundation model fine-tuning.
- Background in financial applications, algorithmic trading, or performance analysis.
- Familiarity with Airflow, MLflow, or model monitoring tools.
Quod Financial
Quod Financial is a Multi-asset trading technology provider. We deliver a modular, non-disruptive, scalable and highly resilient trading solution for Equities, Derivatives and FX. Quod Financial is Headquartered in London with offices in Paris, Dubai, Singapore and New York.
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