Amsterdam, North Holland, Netherlands · Hybrid
ING NL is looking for a junior Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department (IR). This position is aligned with GJA 15 (Scale 09) and is suited for a professiona…
Skills: Credit Risk Modelling, IRB/IFRS9, Python, SAS, SQL
Amsterdam, North Holland, Netherlands · Hybrid
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 aligned with GJA 16 (Scale 10) and is suited for a profe…
Skills: Credit Risk Modelling, IRB, IFRS 9, Python, SAS
Amsterdam, North Holland, Netherlands · Hybrid
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Develop and maintain regulatory and non-regulatory credit risk models for the Dutch portfolio, including IRB/IFRS9 and credit decision models. Collaborate with cross-functional teams to integrate AI/ML techniques and ensure adequate credit risk policy and data management.
Requires an MSc or PhD in a quantitative field like mathematics or econometrics with 0-2 years of experience in credit risk modelling. Proficiency in Python, SAS, SQL, and a strong understanding of banking products and financial industry processes are essential.
ING NL is looking for a junior Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department (IR).
This position is aligned with GJA 15 (Scale 09) and is suited for a professional 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
The core task is to make an analytical contribution in maintaining a healthy lending portfolio in the near and far future. Your role will be to:
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 analyzing 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
We hire people for their potential. In this role, we expect curiosity, ownership in your scope, and a willingness to continuously develop your expertise.
0-2 years of experience in Credit Risk Modelling, ideally with relevant experience in IRB/IFRS9 modelling and/or Credit Decision modelling.
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
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
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
Experience in being a sparring partner/advisor to senior management
You have strong analytical and problem-solving execution skills
Excellent communication skills writing and reporting in English.
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. Find out more about our employment conditions.
The benefits of working with us at ING include:
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.
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
Offices: Bijlmerdreef 106, Amsterdam, North Holland 1102 CT, NL
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