18 meilleures offres (algorithm engineer, paris, a8) (à pourvoir)

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Capital Fund Management —Paris (75)
- Niveau Doctorat
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Astemo —Paris (75)
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Teads —Paris (75)
- Niveau Doctorat
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TotalEnergies —Palaiseau (91)
il y a 1 jour
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Arteris —Montigny-le-Bretonneux (78)
- Informatique
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il y a 2 jours
Auditeur-rice Industriel et référent en Automatisation et Robotisation F-H
Safran —Colombes (92)
- Temps plein
- Anglais
- Master
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Thales —Issy-les-Moulineaux (92)
- Temps plein
- Ingénierie
- Anglais
- Java
Senior Data Engineer H/F - CDI
Converteo —Paris (75)
- Télétravail partiel
- Azure
- Informatique
- Master
Ingénieur-e de recherche en traitement du signal pour le Health Monitoring F-H
Safran —Châteaufort (78)
- Temps plein
- Niveau Doctorat
- Ingénierie
- Anglais
Senior Data Engineer
Solantis - Consulting Agency —Paris (75)
- Azure
- Oracle
- Informatique
Postuler rapidement
Sr Engineer, Software Backend
ACV Auctions —Paris (75)
- Temps plein
- SQL
- JavaScript
- Python
Postuler rapidement
Co-design engineer for future computing architectures in HPC - M/F
CEA —Saclay (91)
- Niveau Doctorat
- Anglais
- Java
Data Scientist Senior F/H
SOCOTEC —Palaiseau (91)
- De 50 000 € à 65 000 € par an
- Temps plein
- Télétravail partiel
- Expérience en gestion d'équipe
- Anglais
- Master
Postuler rapidement
Ingénieur-e R&D - Développement logiciel pour télécommunication satellitaire optique F-H
Safran —Les Ulis (91)
- Temps plein
- Ingénierie
- Anglais
- Master
Senior Python Software Engineer (F/H)
Carrefour —Massy (91)
- Temps plein
- Informatique
- Anglais
- Master
- Prise en charge du transport quotidien
Data engineer sénior F/H
Artelys —Paris (75)
- Temps plein
- Azure
- Ingénierie
- Master
- Horaires flexibles
Postuler rapidement
Lead Data Engineer (H/F)
Equancy —Paris (75)
- Azure
- Service client
- Ingénierie
Ingénieur-e FPGA expérimenté F-H
Safran —Les Ulis (91)
- Temps plein
- Anglais
- Master
il y a 12 jours

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Quantitative researcher

Capital Fund Management -
Paris (75)

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Détails de l'emploi

Qualifications

Niveau Doctorat
Machine learning
Intelligence artificielle
Python

Description complète du poste

Paris, 75, FR

ABOUT CFM

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

YOUR ROLE

As a Quantitative Researcher, you will extract insights from a wide range of datasets – from traditional financial data to unconventional alternative data – to design and develop sophisticated systematic trading models. Your work will focus on building new strategies and enhancing those already implemented at CFM.

You will join a team of 100+ researchers and collaborate closely with data engineers and software engineers to turn research ideas into robust, production-ready trading signals.

KEY RESPONSIBILITIES

Push the research frontier
- Investigate and apply cutting-edge statistical, econometric, and machine‑learning techniques.
- Continuously refine models and methods based on empirical evidence.
Generate and test investment ideas
- Formulate new investment hypotheses and research questions.
- Design and execute rigorous statistical analyses and backtests to validate (or invalidate) these ideas.
Explore and assess data
- Evaluate datasets (traditional and alternative) for their informational content and usability.
- Transform promising data into strategies used in our research and production environment.
Build and deploy trading signals
- Transform research results into robust, additive trading insights.
- Work with engineering teams to implement and maintain these signals in production.

The ideal candidate combines strong creativity, to devise novel ways of uncovering hidden statistical patterns, with a high degree of rigor in testing and validating ideas. Experience working with complex datasets using machine-learning and/or econometric techniques is highly valued. While a strong interest in finance is essential, prior professional experience in the field is not required.

YOUR SKILLS

PhD in Machine learning or artificial intelligence
or PhD in experimental or theoretical science (mathematics, physics, statistics, economics, life science etc.) or in a computational scientific field (big data, computer science, computational biology or chemistry, engineering)
Post PhD experience (academic or private sector research)
Understanding of the ins and outs of machine learning algorithms—and can tweak them as needed
Experience with applied machine learning / econometrics to large datasets
Programming skills in Python
Adaptable and rigorous, capable of working in a quickly evolving environment
Strong teamwork and communication skills.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : algorithm engineer (paris, a8)

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