Quantitative Analytics Consultant — Modeling & Risk

Management Solutions

Warszawa

On-site

PLN 90,000 - 130,000

Full time

12 days ago
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Benefits offered by this job

International opportunities
High-profile projects
Career development
Merit-based promotions

Job summary

Management Solutions is a global consulting firm delivering business, risk, financial, organisational and process advisory services with a multidisciplinary team of around 4,000 professionals.

We are hiring for September 2026 to develop and validate regulatory and non-regulatory models for clients in banking, insurance, energy and telecom, and to provide mathematical support across teams.

Qualifications

  • Recent graduate or final year student in Econometrics, Mathematics, Statistics, Engineering, Data Analytics, Business Administration, Quantitative Methods, Financial Mathematics, Physics.
  • Should desirably have knowledge of modeling techniques (logit, decision trees, clustering) and statistical programming languages (Python, R, SAS, Matlab).
  • Solid academic record; postgraduate studies and/or specialized courses are assets.
  • Knowledge of other languages, Big Data tools and cloud services (AWS, Azure, Google) desirable.

Responsibilities

  • Develop regulatory 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 areas.
  • Mathematical support to the business: developing algorithms, statistics and probability models.

Skills

Modeling techniques
Statistical programming

Education

Econometrics/Math/Statistics/Engineering

Tools

Python
R
SAS
Matlab

Job description

Management Solutions is a global consulting firm delivering business, risk, financial, organisational and process advisory services with a multidisciplinary team of around 4,000 professionals.

We are hiring for September 2026 to develop and validate regulatory and non-regulatory models for clients in banking, insurance, energy and telecom, and to provide mathematical support across teams.

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