Data Scientist

5 dni temu

Łódź, Łódź Voivodeship, Polska Commerzbank branch in Poland Pełny etat
Position Overview

We are seeking a skilled Data Scientist - Quantitative Methods to work in our team at the Commerzbank branch in Poland.

The ideal candidate will have a strong background in mathematics, physics, or related fields, and excellent mathematical-statistical skills. They should also have minimum 3 years of professional experience in banking, preferably within risk modeling or validation.

Key Responsibilities:

  • Development and maintenance of AIRB/IFRS9 credit risk models (PD, LGD, CCF) for multiple portfolios or operational risk and climate risk models
  • Group-wide methodological responsibility for quantitative credit risk or operational and climate risk forecasting models
  • Forward-looking construction of a cross-functional methodology architecture
  • Estimation and optimization of separation power, quality of quantification and stability of forecasts and comprehensive uniform calibration on Basel compliant definition of default
  • Ensuring compliance with regulatory/accounting standard requirements (Basel / IFRS9 etc.) and EBA GL
  • Programming of prototypes for impact and scenario analysis in different programming languages (R, Python, SAS, SQL)
  • Data preparation, statistical and empirical investigations, handling of very large amounts of data, their aggregation and evaluation
  • Preparation of technical specifications, presentations and documentation of quantitative credit risk forecasting models
  • Internal and external communication, including auditors, regulators, external partners and rating agencies

Requirements:

  • Master degree with very good grades in mathematics, physics, econometrics or related fields
  • Very good mathematical-statistical skills as well as knowledge of the mathematical-statistical basis of model development (multivariate statistical methods, stochastic processes, etc.)
  • Minimum 3 years of professional experience in banking, preferably within risk modelling or validation
  • Very good knowledge of data modelling software and coding (Python/R, SAS/SQL) with experience in analysis of huge data sets
  • For credit risk model developers: knowledge of regulations from credit risk models area (CRR, EBA GL, IFRS9)
  • English C1 level

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