Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Audit
Data Modeling @ 4
Git @ 3
IFRS @ 4
Mathematics @ 6
Python @ 4
Statistics @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Hubs Poland is hiring a Credit Risk Model Developer Expert. The role naming convention in the global ING job architecture is “Model Developer IV.”
The Credit Risk Model Development team is an international global team of more than 400 risk experts located across Europe, including Amsterdam, Milan, and Warsaw. The team is responsible for developing robust credit risk models embedded in the regulatory environment.
Responsibilities
- Develop PD, EAD, and LGD IRB/IFRS 9 models for retail and wholesale banking.
- Participate in the full credit risk model lifecycle, including data sourcing, model development, annual monitoring, model implementation, and support for model validation and internal and external audit reviews.
- Collaborate with the internal Model Validation Unit during model development, monitoring, and review processes.
- Interact with stakeholders.
- Share knowledge and expertise.
- Write reports and model documentation.
Requirements
- MSc in mathematics, econometrics, statistics, or a similar quantitative field.
- Sound knowledge of statistical inference and econometric methods.
- Extensive knowledge of IRB and IFRS 9 models.
- Good understanding and interpretation of regulatory credit risk policies, with attention to detail and accuracy.
- At least five years of experience developing IFRS 9/IRB models and working with programming, such as Python or SAS, databases, data modeling, data preparation, and data quality control.
- Ability to clearly and succinctly express ideas, facts, and opinions.
- Ability to identify problems, analyze key information, and make connections to find appropriate solutions.
- Ability to complete tasks and achieve results efficiently, timely, and to a high quality, with a focus on execution and delivery of targets and KPIs.
- English proficiency at C1 level.
Additional Qualifications
- Experience acting as a sparring partner or advisor to senior management.
- Knowledge of and experience with advanced statistical techniques.
- Knowledge of AIRB and IFRS 9 regulations.
- Familiarity with version control systems such as Git.
- Professional certification such as FRM, PRM, CFA, or CQF.
- Experience with databases, data preparation, and data quality control.
Salary
The expected salary is PLN 13,000–22,000 gross per month. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
More jobs at ING
Senior Data Analyst in Risk Area
ING · Warsaw, Poland
PLN 115,200-216,000 per year
Senior Data Engineer in Risk Reporting
ING · Warsaw, Poland
PLN 115,200-264,000 per year
Intern: Credit Risk Data LLM Research & Implementation
ING · Amsterdam, Netherlands
EUR 8,400 per year
Credit Risk Data Engineer
ING · Warsaw, Poland
PLN 115,200-216,000 per year
Document Management Specialist – Tech NL
ING · Katowice, Poland
PLN 84,000-102,000 per year
Similar jobs
Machine Learning Credit Model Developer
ING · Warsaw, Poland
PLN 115,200-216,000 per year
Lead, Advanced Analytics, Community Support
Airbnb · United States
USD 164,000-191,000 per year
Staff Data Engineer - US
Teleport · United States
USD 222,000-342,000 per year
Internal Audit Data Analytics Lead
Stripe · Toronto, Canada, New York City, United States, South San Francisco, United States
USD 153,600-230,400 per year
Model Validation Expert
Bloomberg · New York City, United States
USD 145,000-175,000 per year
Staff Analyst, Advanced Analytics, Payments
Airbnb · United States
USD 180,000-221,000 per year
Lead, Advanced Analytics, Payments
Airbnb · United States
USD 164,000-191,000 per year
Risk AI Data Scientist
ING · Warsaw, Poland
PLN 156,000-264,000 per year