Model Developer Cross Model Analytics

The mission of Integrated Risk is focused on providing risk identification, aggregation and insight capabilities at Group level across the various risk domains. The department uses those capabilities across the various risk functions to provide general oversight of risk governance, policies and frameworks, and to steer group-wide model and implementation activities across locations.

Within this context, the Model Developer Cross Model Analytics role sits in the Bank-wide Credit Risk Models department.

The Team

The Bank-wide Credit Risk Models department is responsible for the management of Wholesale Banking (WB) IRB and IFRS9 and the Bank-wide Credit Risk Economic Capital models, including their development, monitoring, and advisory support to the business, in cooperation with relevant stakeholders. All models in scope are group-wide, managed and developed centrally, and consistently applied across all ING locations.

Roles and responsibilities

Responsible for coordinating the model development and maintenance environment for non-IRB credit risk models related to WB, including feeder models, IFRS9 and Economic Capital. Translating business needs and regulatory requirements into advice and approach for all Model Life Cycle steps, including execution of model development and maintenance. Responsible for safeguarding the model environment from exogenous impact and ensuring consistency in design approach.

What you'll do

• Translate business and regulatory requirements into a dedicated approach for the specific WB model.
• Analyse design approaches end-to-end at model (component) level of the model life cycle procedure throughout the model environment, ensuring compliance of the model design and including requirements within the model environment that might impact the robustness and performance of the model.
• Participate in and actively steer stakeholder meetings regarding all contributors to the model life cycle procedure, as well as external stakeholder meetings as senior modeler, to understand deficiencies and improvement points of the model and model environment in all steps of the MLC, and to explain and defend model design choices.

How to Succeed

• University / Postgraduate (Master's Degree) in mathematics, economics or equivalent
• 7+ years of experience in Credit Risk modelling
• Risk management certification/SAS programming certification focused on Credit risk modelling
• Out-of-the-box, inquisitive, strategic thinking; strong risk management incentive; technically mature credit risk modelling skills; strong communication skills (internally and externally); capability to translate complex matters into simple language; make-it-happen mentality
• Risk Management: Applies broad knowledge of the end-to-end regulatory credit risk model lifecycle (IT, data, model and policy development, regulation) to act as the organizational authority on identifying, assessing, prioritizing and managing model risks.
• Learning: Strongly champions and rewards exploration and out-of-the-box approaches.

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life.

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract
• Pension scheme
• 13th month salary
• 8% holiday payment
• Hybrid working
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues