We are in this together

Job description:
Experience: 2-5 years, 6-8 years, 9+
Location: Paris, Bordeaux

Job Overview
QUANT AI Lab is seeking a passionate and experienced Data Engineer capable of designing, building, and optimizing modern data management infrastructures. You will work on strategic projects, leveraging the latest Cloud, Big Data, and containerization technologies. You will actively contribute to transforming data into performance drivers for our clients while collaborating with multidisciplinary teams.

Responsibilities
Design and Deployment of Cloud Data Infrastructures:
– Develop and maintain secure, reliable, and scalable Cloud solutions (AWS, Azure, or GCP).
– Automate deployments using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi.

Building and Optimizing Data Pipelines:
– Create efficient ETL pipelines to process both structured and unstructured data.
– Ensure the reliability, performance, and optimization of massive data flows.

CI/CD Process Automation:
– Configure and automate CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI/CD.
– Ensure fast and secure deliveries through best practices in CI/CD.

Database Management and Big Data Tools:
– Design, optimize, and maintain relational (SQL) and NoSQL (MongoDB, DynamoDB, etc.) databases.
– Work with Big Data frameworks like Apache Spark, Hadoop, Kafka, or Flink for processing large datasets.

Containerization and Orchestration:
– Deploy and manage containers with Docker, and orchestrate them using Kubernetes.
– Ensure the efficiency and scalability of containerized solutions.

Interdisciplinary Collaboration:
– Work closely with Data Scientists, DevOps Engineers, and Product Owners to ensure project success.

Your profil
Education: Master’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related field.

Technical Skills:
– Cloud Computing: Expertise in AWS, Azure, or GCP.
– Infrastructure as Code: Proficiency in Terraform, CloudFormation, or Pulumi.
– Big Data: In-depth knowledge of Spark, Hadoop, Kafka, or Flink.
– Programming Languages: Strong command of Python, Scala, or Java.
– Databases: Expertise in SQL and NoSQL (MongoDB, Cassandra, etc.).
– CI/CD: Experience with pipeline automation tools (GitHub Actions, Jenkins, etc.).
– Containerization: Mastery of Docker and Kubernetes.
– Data Security: Knowledge of best practices for data processing and storage security.

Experience:
– 2 to 5 years of professional experience as a Data Engineer or in a similar role.
– Experience in a DevOps or Agile environment is a plus.
– Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, etc.) are an advantage.

Personal Skills:
– Analytical mindset and problem-solving skills.
– Ability to work in a team in a multicultural and dynamic environment.
– Proactive with a curiosity for new technologies.
– Excellent communication skills and the ability to simplify technical concepts.

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Job Description
Experience: 2-5 years, 6-8 years, 9+ years
Location: Paris or Bordeaux

We are looking for a candidate with a strong background in applied mathematics, statistics, or quantitative finance, as well as proficiency in modeling and programming tools. The ideal candidate is rigorous, possesses an analytical and critical mindset, and has a strong interest in data and AI.

Responsibilities
As a Quantitative Analyst at QUANT AI Lab, your main tasks will include:
– Development of quantitative models: Designing, testing, and optimizing models for trading strategies, risk management, or economic forecasting using quantitative and machine learning methods.
– Data analysis: Collecting, cleaning, and analyzing large datasets to extract actionable insights and develop robust algorithms.
– Strategy optimization: Applying models to simulate and optimize the performance of existing strategies; testing and validating results for production deployment.
– Collaboration with cross-functional teams: Working closely with data, AI, and business teams to understand client needs and tailor quantitative solutions accordingly.
– Technology watch and applied research: Keeping up with advancements in quantitative finance and AI and proposing innovative improvements to stay at the forefront of technology.
Education: Master’s or Ph.D. in Mathematics, Statistics, Quantitative Finance, Computer Science, or a related field.

Your profil
Experience: Minimum of 2 years as a quantitative analyst, data scientist, or in a similar role within the financial or technology sector.

Technical Skills:
– Proficiency in programming languages: Python, R, and SQL.
– Strong knowledge of statistics, econometrics, and predictive modeling techniques.
– Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).
– Proficiency in data visualization tools (Matplotlib, Power BI, Tableau).
– Experience in developing and optimizing models in a production environment.

Soft Skills:
– Excellent communication skills and ability to simplify complex concepts.
– Ability to work both independently and in a team.
– Strong attention to detail and ability to manage multiple projects.

Personal Qualities:
– Rigor and precision: Attention to detail is crucial in this role to prevent errors in quantitative analyses and financial models.
– Analytical and problem-solving skills: Ability to quickly understand complex problems and develop innovative solutions.
– Critical thinking: Ability to evaluate and validate models critically, with strong result interpretation skills.
– Adaptability and intellectual curiosity: Openness to new methods and technologies, with a keen interest in developments in quantitative finance and artificial intelligence.
– Good communication: Ability to simplify complex concepts for non-technical stakeholders and work effectively with multidisciplinary teams.

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Job Description
Experience: 0.5 to 2 years
Location: Spain
Contract Type: Permanent (CDI)

Job Description
We are looking for a passionate Data Scientist specialized in Artificial Intelligence and Machine Learning to join our dynamic team in Spain. The ideal candidate will have a strong academic background, preferably a PhD in Computer Science or Artificial Intelligence, along with initial professional experience in developing machine learning models.

As a Data Scientist, you will be responsible for developing and optimizing machine learning models to tackle complex problems. You will collaborate with a team of experts and be involved in all project phases, from data collection to model deployment.

Responsibilities
– Design, develop, and optimize machine learning models for various use cases.
– Analyze complex datasets and collaborate with teams to identify relevant solutions.
– Handle and transform data using tools and languages such as SQL and Python.
– Implement robust data pipelines and perform advanced analytics.
– Optimize machine learning models in terms of performance and scalability.
– Work with cloud teams to deploy solutions on Azure.
– Monitor and continuously improve models in production.

Required Profile
– Education: PhD in Computer Science, Artificial Intelligence, or a related field.
– Experience: 0.5 to 2 years in a similar role as a Data Scientist.
– Hands-on experience in developing machine learning models.
– Technical Skills
– Strong expertise in SQL for data extraction and manipulation.
– Solid programming skills in Python for machine learning model development.
– Knowledge of Spark/PySpark is a plus.
– Experience with Azure Cloud environments is an advantage.
– Additional Skills
– Analytical mindset and problem-solving abilities.
– Good communication skills and ability to work in a team.
– Languages: Proficiency in Spanish (spoken and written); English proficiency is a plus.

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