At QUANT AI Lab, innovation starts with people. We offer a dynamic environment where creativity, collaboration, and growth drive cutting-edge projects. Whether you’re an expert or a rising talent, you’ll tackle real-world challenges, make an impact, and thrive in a culture of excellence. Ready to grow with us?
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.
