QUANTITATIVE CONSULTANT

Copenhague / Graduate / Number of vacancies: 2

You will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and quantitative support to business and R&D projects.

Requirements

• Recent graduates or final year students.
• Desirable knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and 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.
• Knowledge of other languages is desirable.
• Get up and go attitude, maturity, responsibility and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.

Benefits and Development

We offer a stimulating environment that includes:

• Working on high-profile consulting projects for the largest companies and industry leaders at both national and global levels.
• Collaboration with top industry management within a highly professional team with a culture that sets industry benchmarks.
• Ongoing training plan, with approximately 10% of business turnover spent in training, covering specialist knowledge courses, external expert courses, professional skills courses and language courses.
• Annual training hours exceeding 400,000 across more than 160 courses.
• Clearly defined career plan and internal promotion based solely on merit.
• Partnership‑based management model giving advanced professionals the opportunity to become part of the firm’s group of partners.

At Management Solutions we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, colour, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.