Quantitative Analytics Consultant

Management Solutions; Amsterdam; On-site; EUR 40,000 - 56,000; Full time

Job summary

Management Solutions, a global consulting firm, is seeking graduates or final-year students for roles in statistical data processing, predictive modeling, and risk analytics. The position emphasizes learning in modeling techniques, statistical languages (SAS/R/Python/Matlab), and big data platforms (Hadoop/Hive).

You will join a multidisciplinary team to develop algorithms and probability models, supporting business and risk-related projects across industries.

Qualifications

• Recent graduates or final year students.
• Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering).
• Statistical programming languages: SAS, R, Python, Matlab.
• Big data tools and platforms: Hadoop, Hive, etc.
• Solid academic record.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.

Responsibilities

• Statistical data processing (data mining).
• Predictive modeling using machine learning and data science techniques.
• Trend modeling (time series, ARIMA models).
• Development of simulation models (Monte Carlo).
• Review and validation of rating and scoring, RAROC and risk parameter models.
• Mathematical support to the business: developing algorithms, statistics and probability models.

Skills

Data mining

Machine learning

Time series

SAS

R

Python

MATLAB

Hadoop

Hive

Education

Bachelor's degree in a quantitative field

Postgraduate studies in Data Science/Quantitative Finance

Tools

SAS

R

Python

MATLAB

Hadoop

Hive

Job description

Management Solutions, a global consulting firm, is seeking graduates or final-year students for roles in statistical data processing, predictive modeling, and risk analytics. The position emphasizes learning in modeling techniques, statistical languages (SAS/R/Python/Matlab), and big data platforms (Hadoop/Hive).

You will join a multidisciplinary team to develop algorithms and probability models, supporting business and risk-related projects across industries.