QUANTITATIVE CONSULTANT PARIS

TN France; Paris; Sur place; EUR 40 000 - 70 000; Plein temps

Résumé du poste

An established industry player seeks a Quantitative Consultant in Paris to develop and validate innovative models across banking, insurance, and telecommunications. This role offers the chance to work on high-profile consulting projects while receiving ongoing training and support for career progression. With a focus on statistical programming and modeling techniques, you will engage in R&D projects and collaborate with multidisciplinary teams. If you're a recent graduate eager to make an impact in a dynamic environment, this opportunity is perfect for you.

Prestations

Ongoing Training

Clear Career Progression

Engagement with Prestigious Universities

Participation in Community Activities

Flexible Hours for Interns

Qualifications

• Recent graduate or final year student in relevant fields.
• Knowledge of statistical programming languages and modeling techniques.

Responsabilités

• Develop normative and non-regulatory models in various sectors.
• Review and validate models in risk and finance.

Connaissances

Statistical Programming (Python, R, SAS, Matlab)

Modeling Techniques (Logit, Decision Trees, Clustering)

Data Analytics

Strong Computer Skills

Formation

Degree in Econometrics, Mathematics, Statistics, Engineering, Data Analytics

Postgraduate Studies in Data Analytics or Quantitative Finance

Outils

Big Data Tools

Cloud Services (AWS, Azure, Google)

Description du poste

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France QUANTITATIVE CONSULTANT PARIS Paris / Graduate / Number of vacancies: 5

- Development of normative and non-regulatory models (e.g., regression models, classification models, time series, and Monte Carlo simulations) in banking, insurance, energy, and telecommunications.

- Review and validation of regulatory and non-regulatory models in risk, finance, and other fields.

- Statistical data processing.

- Mathematical business support: development of algorithms, statistical, and probability models.

- R&D projects.

Requirements

• Recent graduate or final year student from disciplines related to Econometrics, Mathematics, Statistics, Engineering, Data Analytics, Business Administration, Mathematical Finance, Quantitative Methods, Financial Mathematics, Physics, etc.
• Knowledge of modeling techniques (logit, decision trees, clustering) and statistical programming languages (Python, R, SAS, Matlab) is desirable.
• Solid academic record.
• Postgraduate studies or specialized courses in Data Analytics, Quantitative Finance, or similar are assets.
• Knowledge of other languages, Big Data tools, and cloud services (AWS, Azure, Google) is desirable.
• Get-up-and-go attitude, maturity, responsibility, and strong work ethic.
• Ability to learn quickly and integrate into multidisciplinary teams.
• Strong computer skills.

What We Offer

The best environment to develop talent:

• Participation in high-profile consulting projects for leading companies, facing national and global challenges.
• Ongoing training, with approximately 10% of business turnover invested in training, including courses and language training.
• Clear career progression with internal promotion based on merit and a partnership-based management model.
• Engagement with prestigious universities, community activities, and sports tournaments.

For more information, visit our website at: www.managementsolutions.com

We are committed to equal opportunities and consider all qualified applicants regardless of protected characteristics.

About Management Solutions

An international consulting firm delivering business, risk, financial, organizational, and process advisory services, including technology implementation.

Contact

Paris Office: 5 Place de la Pyramide, 92088 Paris, France. Phone: [phone]

Follow us on social media: linkedin, facebook, youtube, instagram.

Students

If you are in your final years, we offer paid internships, flexible hours, and potential employment upon graduation.

Other Positions in Paris

• Business Consultant
• New Technologies and Digital Transformation Consultant
• Office Manager

We believe in equal opportunities for all applicants.