Vice President Quantitative Data Engineer - Capital Fund Management

Capital Fund Management; Paris; Sur place; EUR 75 000 - 110 000; Plein temps

Résumé du poste

Capital Fund Management recherche un développeur quantitatif senior pour rejoindre son équipe, contribuant à l'intégration de nouveaux ensembles de données et au développement de fonctionnalités prédictives. Ce rôle nécessite plus de 7 ans d'expérience en programmation et manipulation de données. Un environnement stimulant vous attend, promettant des opportunités de croissance et d'apprentissage.

Prestations

Environnement de travail stimulant

Opportunités de développement professionnel

Qualifications

• Plus de 7 ans d'expérience en développement quantitatif.
• Expérience avec des données tick-by-tick.
• Capacité à travailler dans un environnement dynamique.

Responsabilités

• Développement de fonctionnalités en collaboration avec des chercheurs quantitatifs.
• Industrialisation des pipelines d'extraction de caractéristiques.
• Gestion des jeux de données de production alpha.

Connaissances

Python

C++

Data manipulation

Analytical skills

Problem-solving

Formation

Bachelor or MS degree in Computer Science, Mathematics or related Computer Engineering or Science curriculum

Outils

pandas

spark

polars

Linux

git

slurm

Description du poste

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.

ABOUT THE ROLE

The Team

Data is the fuel that powers our investment strategies : intraday price dynamics are used to better our investment decisions; buy / sell intents of market participants help to trade at the best available price... CFM Data team is in charge preparing the data to make quant research easier and trading more reliable.

The Mission

As a senior quantitative developer (data engineer), you will contribute to the success of our strategies by integrating new datasets, developing predictive features and automating their extraction.

Key Responsibilities

• Hand in hand feature development with quantitative researchers
• Industrialization of features extraction pipelines (deployment, data cleaning, monitoring)
• Domain ownership of several datasets, including alpha producing ones
• State of the art monitoring
• Contribution to platform design

Qualifications / Required Skills

• Education : Bachelor or MS degree in Computer Science, Mathematics or related Computer Engineering or Science curriculum
• Over 7 years of experience
• Experience in programming languages (python, C++), data manipulation libraries (pandas, spark, polars) and Linux environments (shell, git, slurm)
• Proven experience working with tick-by-tick data
• Excellent analytical skills
• Ability to solve complex problems
• A passion for learning new technologies and methodologies.
• Capacity to work in a fast-paced, high-stakes environment, with a commitment to professional development and continuous learning
• Team player, able to communicate with quant teams

What can CFM offer you?

We create an environment for highly-talented and passionate PhDs, IT engineers and other recognized experts to explore new ideas and challenge assumptions. We are a Great Place to Work and welcome those who are intellectually curious and keen to see CFM's thinking, research and analysis come to life in a way that benefits our clients.

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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