Oferta pracy

Python developer in Credit Risk Modelling (Specialist)

ING Tech Poland

  • Zajęcza 4, Warszawa
    Warszawa, Masovian
  • offer expired a month ago
  • contract of employment
  • full-time
  • specialist (Mid / Regular)
  • remote recruitment

ING Tech Poland

Zajęcza 4


Technologies we use


  • Python

  • Basel

  • IFRS9


  • Git

  • C/C++

  • Scala

  • Java

Your responsibilities

At ING Tech Poland and ING group we follow the Agile approach and mindset. We use flexible frameworks like Scrum and Kanban at our everyday work. We are innovative and we trust people we work with. The broad autonomy our employees have, stimulates motivation and creativity what allows us to adapt to the changing requirements of business partners. Small units called squads are the core of our organization. They have clear vision of products, overcome challenges autonomously and based on team cooperation, work out the most flexible and effective way of working. The Financial Risk Model Development department is an international team of 80 highly qualified professionals. Our expertise lies in the development and management of credit risk, ALM and operational risk models. To further strengthen and develop the modelling capabilities, ING decided to setup RiskHub Warsaw. The RiskHub Warsaw model development team performs model development activities for models throughout ING, working closely together on international projects with the teams in Amsterdam. The developed credit risk models are core to the success of ING and include IRB and IFRS9 models (PD, LGD, EAD) for retail and wholesale portfolios, as well as non-regulatory models. The models are used by all local Risk Management (RM) units within ING. As a Python developer in credit risk modelling, you will be given the opportunity to gain further experience in credit risk modelling topics, extend state-of-the-art modelling methods, tooling and data processing technologies.

Our requirements

  • You have at least 2 years of commercial experience in Python

  • You have a willingness to learn credit risk modelling, including regulatory perspective (Basel/IFRS9)

  • You have an academic degree (BSc or MSc) in computer science, mathematics, physics, statistics, econometrics, quantitative methods, or a similar quantitative field

  • You have a strong knowledge of statistical modelling and econometric methods

  • You have experience with databases, data modelling, data preparation and data quality control


  • Familiarity with Version Control Systems (preferably Git)

  • Experience with documentation in Python (Sphinx)

  • Experience with other programming languages (e.g. C/C++, Java, Scala)

  • Knowledge of financial regulation (Basel, EBA, IFRS9)

  • Experience in delivering solutions in an iterative way, working as part of a team with local and remote members

  • Strong analytical and problem-solving capabilities

  • Communication and presentation skills, advanced level of English (C1 or above)

  • Independent, creative and pro-active mind-set

  • Attention to details

  • Keen on innovation

  • Analytical and critical attitude

Division of working time

Get familiar with model development methodology


Implement credit risk modelling methods


Deployment and testing of your solutions


Documenting and reporting

What we offer

  • Professional development

  • Certificates and knowledge transfer

  • Training budget

  • Access to the newest technologies

  • International projects

  • Stability of employment

  • Fully equipped workstations

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • integration events

  • corporate gym

  • video games at work

  • parking space for employees

  • leisure zone