Model Risk Specialist Integrated Risk NL
ACT (Amsterdam - Acanthus), Netherlands
ING NL is looking for a Quantitative Model Risk Specialist to strengthen the Predictive Analytics team within the Integrated Risk Department (IR).
Predictive Analytics is responsible for the (co-)development and management of regulatory and non-regulatory Credit Risk models with state-of-the-art modeling 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. The position offers excellent opportunities to broaden your model development, data management, and organizational skills within an Agile set up.
We are looking for someone with very strong analytical background, experienced with IRB rating system development/ methodologies as well as Credit Decision Models (e.g. scorecards, EWS) and Model Life Cycle.
Technical skills should include extensive experience in using data modelling software/ or coding (SAS, Python, R ) Having soft skills are equally important; such as strong communication and presentation skills, being a self-starter, autonomous, good team player, organized (e.g. documentation, scripting), creative/ design thinking and agile.
Does it sound interesting? Please read on!
The Integrated Risk team
The IR team consists of enthusiastic colleagues who join forces and listen to each other in order to combine and share knowledge, leading to:
An economically justified credit risk policy (risk appetite).
Effective strategic decision making via well maintained credit risk models.
A risk policy centralizing the customers’ interest.
Meeting the internal and external guidelines.
A thriving work environment.
Role 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-modelling.
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.
Work according to ING’s one Way of Working (agile WoW)
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself
More than 3 years of experience in Credit Risk Modelling, including relevant experience in IRB modelling and/or Credit Decision modelling.
Deep 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 modeling 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.
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 & Dutch.
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
● 25 - 28 vacation days depending on contract
● Pension scheme
● 13th month salary
● 8% Holiday payment
● Mobility Card
● Hybrid working
● Personal growth and challenging work with endless possibilities
● An informal working environment with innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you.
Questions?
Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Credit risk Data management Econometrics Excel Finance Machine Learning Mathematics ML models PhD Physics Python R SAS SharePoint SQL Statistics
Perks/benefits: Career development
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