Model Risk Specialist

ING Nederland; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Flexible hours

Work from home

Pension scheme

13th month salary

Vacation days

Personal growth

Innovative colleagues

Agile workplace

Job summary

ING Nederland is seeking a Quantitative Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department. You will develop and maintain models measuring credit risk for the Dutch portfolio and contribute to IRB/IFRS9 and credit decision modelling.

Working in an Agile environment, you will explore AI/ML approaches, leveraging Python, SAS and SQL, and collaborate with Risk, Finance, Business and IT to advance risk insights and ESG initiatives.

Qualifications

• 1 year+ experience in Credit Risk Modelling including IRB/IFRS9 or credit decision modelling.
• Strong quantitative methods knowledge and data science/machine learning exposure.
• MSc or PhD in mathematics, physics or econometrics or equivalent.

Responsibilities

• Develop and maintain credit risk models for Dutch portfolios.
• Build regulatory models for IRB/IFRS9 purposes.
• Forecast provisions, risk costs, RWA and arrears.
• Develop credit decision models and life-cycle models (EWS).
• Deliver and support ESG risk analyses and strategy.
• Collaborate with Risk, IT and Front Office to align data and policies.
• Apply AI/machine learning to risk modelling where applicable.
• Use Python-based tools to enhance modelling workflows.

Skills

Credit risk modelling

IRB/IFRS9 modelling

Data Science

Machine Learning

Python

SAS

SQL

Statistics

Communication in English

Education

MSc in mathematics/physics/econometrics

Tools

SAS Base

SAS Macro Language

SAS EG

MS Access

MS Excel

SharePoint

SQL

Python (libraries)

Job description

ING NL is looking for a Quantitative Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department (IR).

This position is suited for a professional with a strong quantitative foundation who is eager to further develop within credit risk modelling.

We are looking for someone with a solid analytical background and initial experience in IRB/IFRS9 rating models and/or Credit Decision Models (e.g. scorecards, Early Warning Systems), and an interest in the Model Lifecycle and emerging topics such as AI and advanced analytics.

The team

Predictive Analytics is responsible for the (co-)development and management of regulatory and non-regulatory Credit Risk models with state-of-the-art modelling methods, tooling, and data processing technologies. These models are core to the success of ING and they are applied for different purposes, amongst others to determine capital adequacy, loan loss provisions but also credit decisions and in-life & problem management of loans. You will work in an Agile environment, collaborating with colleagues across Risk, Finance, Business, and IT. The role offers strong opportunities to develop your modelling, data, and AI-related skills in a practical setting.

Roles And Responsibilities

• Developing and maintaining models for measuring and managing credit risk for Dutch Portfolio.
• Model development of regulatory models for IRB/IFRS9 purposes.
• Forecasting and describing developments in provisions, risk costs, RWA and arrears are important components.
• Model development for credit decision models, in life management models (EWS etc.)
• Delivery of bank wide ESG strategy and supporting managing and analysing ESG risk.
• Supporting ING Bank Netherlands new products, processes via measuring credit risk
• adequately and support decision making.
• Collaborating with Risk managers within the department to develop and validate an adequate credit risk policy.
• Collaborating with the front office, as well as the ING Group Risk and Finance departments, to align the various interests and to exchange knowledge.
• Collaborating with IT system owners, to ensure adequate data/platform management.
• Contribute to the exploration and application of AI / machine learning techniques in credit risk modelling where applicable
• Use modern analytics tools (e.g. Python-based libraries) to improve modelling and analysis workflows
• Stay up to date with emerging trends in AI and data science and actively apply learnings in day-to-day work
• Work according to ING's one Way of Working (agile WoW)

How To Succeed

• 1 year of experience in Credit Risk Modelling, including relevant experience in IRB/IFRS9 modelling and/or Credit Decision modelling.
• Good knowledge of quantitative methods and techniques, experience with Data Science and Machine Learning combined with business knowledge of Credit Risks.
• MSc degree or PhD in e.g. mathematics, physics, econometrics
• Experience with development of (credit) (risk) models
• Excellent knowledge of statistics and/or mathematics
• Excellent knowledge of programming, preferably in SAS Base, SAS Macro Language, SQL, VBA and Python
• Experience with risk modelling and business tooling, specifically SAS EG, MS Access, MS Excel, SharePoint
• Experience with (central) data gathering and processing is good to have
• Knowledge of banking and financial industry, financial and lending products, and processes
• Interest in or exposure to machine learning / AI applications in risk or analytics
• You have strong analytical and problem-solving execution skills
• Excellent communication skills writing and reporting in English.

Rewards And Benefits

• A salary tailored to your qualities and experience
• Great international career opportunities
• Flexible working hours and the possibility to work at home
• 25-28 vacation days depending on contract
• Pension scheme
• 13th month salary
• Individual Savings Contribution (BIS), 3.5% of your gross annual salary
• 8% Holiday payment
• Personal growth and challenging work with endless possibilities to realize your ambitions
• An informal working environment with innovative colleagues who strive for the very best
• Progressive way of working according to the Agile method, so that new ideas come to life

About Us

Curious about how ING empowers people and businesses to move forward?

Discover what we do and what we can offer you.

Questions?

Please visit our Frequently Asked Questions section to find some answers on questions you might have.