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Quantitative Consultant

Management Solutions · Cuenca

🇬🇧 English
logit GLM time series decision trees random forests clustering SAS Python Matlab Hadoop Hive

Descripcion del puesto

About the role

We are seeking a Quantitative Consultant to join our consulting team and work on high‑impact projects for leading organisations. You will apply data‑mining, predictive and trend modelling, and simulation techniques to support business and R&D initiatives.

Key responsibilities

  • Develop and implement data‑mining and knowledge‑discovery solutions.
  • Build predictive, trend and Monte‑Carlo simulation models.
  • Review and enhance credit rating and scoring models.
  • Provide quantitative support to business units and research projects.

Required profile

  • Recent graduate or final‑year student with a strong academic record.
  • Motivated, responsible and quick‑learning attitude.
  • Ability to work effectively in multidisciplinary teams.
  • Post‑graduate studies or specialised courses in Data Science, Quantitative Finance or related fields are a plus.

Required skills

  • Modelling techniques: logit, GLM, time series, decision trees, random forests, clustering.
  • Statistical programming: SAS, R, Python, Matlab.
  • Big‑data platforms: Hadoop, Hive.

What we offer

  • Exposure to high‑profile consulting projects for market‑leading companies.
  • Comprehensive training programme (≈10 % of turnover invested in training).
  • Access to specialist courses, external experts and language training.
  • Clear career path with merit‑based promotion and partnership opportunities.
  • Collaboration with prestigious universities, community‑service initiatives and sports clubs.

Questions fréquentes

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Management Solutions

Cuenca