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ING Tech Poland

Starszy Ekspert ds. walidacji modeli (Senior Quantitative Expert)

ING Tech PolandO firmie

Rekrutacja zdalna

Rekrutacja zdalna

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Rekrutacja zdalna

ING Tech Poland

Zajęcza 4

Warszawa

Starszy Ekspert ds. walidacji modeli (Senior Quantitative Expert)
Location: Warszawa

We are looking for you if

  • You like to assess performance and are looking for new ways to build risk models,
  • You have a degree (master or doctorate) in quantitative methods, in mathematics, physics, statistics,
  • You have extensive experience in programming in SAS or similar tools (Python, R),
  • You have knowledge of statistical tools and modeling techniques,
  • You have over 7 years of experience in credit risk models,
  • Modeling specific issues, you were guided by the highest quality content and based on research regulations and documents,
  • You have knowledge about IRB or IFRS 9 models and regulations,
  • You are characterized by an analytical and critical approach,
  • You like to share knowledge with less experienced team members,
  • You are fluent in English in speaking and writing for business.

You will score extra point for

  • Knowledge of credit decision models (e.g. underwriting models, credit valuation and early warning systems),
  • Specialization in modeling in other areas.

Additional skills

  • Independence and ability to make decisions.

How we work

At ING Tech Poland and ING, we follow the Agile approach. We use flexible platforms such as Scrum and Kanban in our daily work. We are innovative and trust the people we work with. The broad autonomy of our employees stimulates motivation and creativity, which allows us to adapt to the changing requirements of business partners. Small units called squads are the core of our organization. They have a clear vision of products, independently overcome challenges and are based on team cooperation, develop the most flexible and effective way of working.


Risk Hub was created as part of a central risk team currently located in Amsterdam. We are building the following chapters in Warsaw:

  • Validation model
  • Data and analytical engineering
  • Credit Risk Modeling
  • ALM Modeling
contract of employment
type of contract
Flexible working hours 8-18
(8 hours per day)

work hours
ul. Zajęcza 4, Warsaw
this is the location of our office

Zakres obowiązków

30%
  - Sharing knowledge with me from experienced team members
 
30%
  - Assessing credit risk models
 
20%
  - Continuous content improvements
 
10%
  - Interaction with stakeholders
 
10%
  - Creating high quality validation reports
 

Prosimy o przesłanie CV wraz z dołączoną zgodą na przetwarzanie danych osobowych za pomocą przycisku:

Uprzejmie informujemy, iż skontaktujemy się z wybranymi kandydatami.

Jeżeli w przyszłości, chciałbyś/chciałabyś brać udział w innych rekrutacjach prowadzonych przez ING Business Shared Services B.V. sp. z o.o. Oddział w Polsce z siedzibą w Katowicach, potrzebujemy Twojej dodatkowej zgody:  „Wyrażam zgodę na przetwarzanie moich danych osobowych na potrzeby przeprowadzenia przyszłych rekrutacji.”

W przypadku wyrażenia zgody na przetwarzanie Twoich danych osobowych na potrzeby przyszłych rekrutacji informujemy, że będą one wykorzystywane przez okres 2 lat. Wszystkie informacje dotyczące przetwarzania Twoich danych osobowych znajdziesz tutaj.

We are looking for you if

  • You like to assess performance and are looking for new ways to build risk models,
  • You have a degree (master or doctorate) in quantitative methods, in mathematics, physics, statistics,
  • You have extensive experience in programming in SAS or similar tools (Python, R),
  • You have knowledge of statistical tools and modeling techniques,
  • You have over 7 years of experience in credit risk models,
  • Modeling specific issues, you were guided by the highest quality content and based on research regulations and documents,
  • You have knowledge about IRB or IFRS 9 models and regulations,
  • You are characterized by an analytical and critical approach,
  • You like to share knowledge with less experienced team members,
  • You are fluent in English in speaking and writing for business.
Starszy Ekspert ds. walidacji modeli (Senior Quantitative Expert)

You will score extra point for

  • Knowledge of credit decision models (e.g. underwriting models, credit valuation and early warning systems),
  • Specialization in modeling in other areas.

Additional skills

  • Independence and ability to make decisions.

How we work

At ING Tech Poland and ING, we follow the Agile approach. We use flexible platforms such as Scrum and Kanban in our daily work. We are innovative and trust the people we work with. The broad autonomy of our employees stimulates motivation and creativity, which allows us to adapt to the changing requirements of business partners. Small units called squads are the core of our organization. They have a clear vision of products, independently overcome challenges and are based on team cooperation, develop the most flexible and effective way of working.


Risk Hub was created as part of a central risk team currently located in Amsterdam. We are building the following chapters in Warsaw:

  • Validation model
  • Data and analytical engineering
  • Credit Risk Modeling
  • ALM Modeling

Zakres obowiązków

30%
  - Sharing knowledge with me from experienced team members
 
30%
  - Assessing credit risk models
 
20%
  - Continuous content improvements
 
10%
  - Interaction with stakeholders
 
10%
  - Creating high quality validation reports
 

Prosimy o przesłanie CV wraz z dołączoną zgodą na przetwarzanie danych osobowych za pomocą przycisku:

Uprzejmie informujemy, iż skontaktujemy się z wybranymi kandydatami.

Jeżeli w przyszłości, chciałbyś/chciałabyś brać udział w innych rekrutacjach prowadzonych przez ING Business Shared Services B.V. sp. z o.o. Oddział w Polsce z siedzibą w Katowicach, potrzebujemy Twojej dodatkowej zgody:  „Wyrażam zgodę na przetwarzanie moich danych osobowych na potrzeby przeprowadzenia przyszłych rekrutacji.”

W przypadku wyrażenia zgody na przetwarzanie Twoich danych osobowych na potrzeby przyszłych rekrutacji informujemy, że będą one wykorzystywane przez okres 2 lat. Wszystkie informacje dotyczące przetwarzania Twoich danych osobowych znajdziesz tutaj.

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