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Quantitative Analyst in Paris
Il y a 2 mois
As a Quantitative Consultant, you will engage in the development and validation of both normative and non-normative models across various sectors including banking, insurance, energy, and telecommunications. Your role will encompass:
Key Responsibilities
- Crafting sophisticated models such as regression, classification, time series, and Monte Carlo simulations.
- Conducting thorough reviews and validations of models related to risk and finance.
- Performing statistical data analysis and processing.
- Providing mathematical support for business initiatives through algorithm development and statistical modeling.
- Participating in research and development projects.
Qualifications
- Recent graduate or final-year student in fields such as Econometrics, Mathematics, Statistics, Engineering, Data Analytics, Business Administration, Financial Mathematics, or Physics.
- Familiarity with modeling techniques (e.g., logit, decision trees, clustering) and statistical programming languages (Python, R, SAS, Matlab) is preferred.
- A strong academic background is essential.
- Postgraduate studies or specialized training in Data Analytics or Quantitative Finance are advantageous.
- Knowledge of additional languages, Big Data tools, and cloud services (AWS, Azure, Google) is a plus.
- A proactive attitude, maturity, and a strong work ethic are required.
- Ability to learn quickly and integrate into multidisciplinary teams.
- Proficient computer skills are necessary.
What We Offer
We provide an exceptional environment for talent development, including:
- Engagement in high-profile consulting projects with leading companies.
- Opportunities for ongoing training, with a significant investment in professional development.
- A clearly defined career progression based on merit.
- A partnership-based management model that encourages professional growth.
- Access to a wide range of training courses and community engagement activities.
At Management Solutions, we are committed to equal opportunities in our hiring process, ensuring that all qualified candidates are considered without discrimination.
