ML Research & Engineering for Low-Latency Trading

Capital Fund Management (CFM); Paris; Hybride; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Capital Fund Management in Paris seeks a Machine Learning Research and Engineering expert to build ML models for execution strategies and enhance a tick-based ML pipeline, combining research with industrial production.

You will implement features in C++, improve data generation and training, optimize inference latency, and collaborate with TCM and Execution teams to advance ML tech in finance. Fluent French and English are required.

Qualifications

• PhD in ML, CS, data engineering or related field.
• Deep understanding of machine learning algorithms.
• Applied ML with large datasets experience.
• Python (3+ years) and C++ proficiency required.
• Linux experience.
• Fluent in French and English.

Responsabilités

• Explore and propose new ML ideas with TCM and Execution teams.
• Implement and evaluate ML ideas, data, models, frameworks and inference.
• Maintain the platform with non-regression tests and migrations.

Connaissances

PhD

Python

C++

Linux

English & French

Team collaboration

Formation

PhD in ML/CS/Data Eng

Outils

PyTorch

TensorFlow

pandas

scikit-learn

Polars

SQL

Description du poste

Capital Fund Management in Paris seeks a Machine Learning Research and Engineering expert to build ML models for execution strategies and enhance a tick-based ML pipeline, combining research with industrial production.

You will implement features in C++, improve data generation and training, optimize inference latency, and collaborate with TCM and Execution teams to advance ML tech in finance. Fluent French and English are required.