Graduate Quantitative Modeling Consultant – Frankfurt

Management Solutions, SL; Santiago; Presencial; CLP 38.272.221 - 57.408.332; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Training plan with 10% turnover in培训

Access to specialist courses and语言课程

Clear career plan with merit-based adv

Partnership-based management model

Descripción de la vacante

Management Solutions, SL in Frankfurt is seeking recent graduates for challenging projects focusing on data mining, predictive modeling, trend modeling, and Monte Carlo simulations, with quantitative support across business and R&D initiatives.

You will review credit rating and scoring models, apply statistical techniques using SAS, R, Python or MATLAB, and collaborate in multidisciplinary teams while pursuing ongoing professional development.

Formación

• Recent graduates or final‑year students.
• Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering).
• Experience with statistical programming languages (SAS, R, Python, MATLAB) and big data tools/platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Postgraduate studies and/or specialised courses in Data Science, Quantitative Finance or related fields are an asset.

Responsabilidades

• Work on data mining and knowledge discovery projects.
• Develop predictive and trend models using statistical methods.
• Build simulation models (Monte Carlo) for scenarios and risk assessment.
• Review credit rating and scoring models to support decisions.
• Provide quantitative support to business and R&D projects.

Conocimientos

Modeling techniques

Statistical programming

Big data tools

Team collaboration

Rapid learner

Educación

Data Science/Quantitative field degree

Herramientas

SAS

R

Python

MATLAB

Hadoop

Hive

Descripción del empleo

Management Solutions, SL in Frankfurt is seeking recent graduates for challenging projects focusing on data mining, predictive modeling, trend modeling, and Monte Carlo simulations, with quantitative support across business and R&D initiatives.

You will review credit rating and scoring models, apply statistical techniques using SAS, R, Python or MATLAB, and collaborate in multidisciplinary teams while pursuing ongoing professional development.