Junior Model Validator
2 maanden geleden
Model Validation Business and Operational Analytics (MVBOA) is looking for a Model Validator
The MVBOA Tribe is an energetic, international team of ~20 highly qualified professionals with various quantitative backgrounds located in Amsterdam and Warsaw. We are responsible for validating models in areas like KYC & Compliance, Advanced Analytics, Loan Pricing, Collections and Non-Financial Risk and used by ING worldwide. The type of models is very diverse, ranging from simple ones to using very advanced data science and analytics techniques. By bringing in our expertise we assure that models are appropriate for intended use, compliant with internal policies and external regulations and its limitations are well understood by the organisation. Our goal is to ensure a strong modelling landscape within ING.
Following ING's Think Forward Strategy to become the next generation digital bank, data and models are considered key assets in our bank. As model validators we safeguard the quality of ING's models, which are used for all kinds of decision making purposes. We also contribute to the Model Risk Management (r)evolution that is picking up worldwide, given that models are imperfect representations of reality and hence may lead to financial losses and/or reputational damage. To effectively achieve these challenges, our Model Validation teams have been substantially growing in size lately and will further grow, also internationally.
We are looking for an enthusiastic, curious Model Validator who likes to develop him/herself in the MVBOA Tribe.
The team Our Tribe is part of the Model Risk Management (MoRM) department which currently consists of four validation tribes (MVBOA; Credit Risk; Trading Book Risk and Banking Book Risks) and Model Risk Oversight tribe. MoRM has adopted the ING One Way of Working. In our organizational set-up, we distinguish tribes, chapters and squads. Our main stakeholders are ING's head office and local risk departments, senior management (including the CRO and Executive Board), internal and external auditors, the ECB and other regulators. To ensure its independence, Model Risk Management reports directly to the CRO. The environment that you work in can be described as dynamic, professional with fast changing requirements and needs. MVBOA promotes a culture of continuous improvement & innovation, ongoing feedback and empowering people to take responsibility. Roles and responsibilities Perform independent validation and testing of a range of Generative AI (GenAI) and other models across global ING business lines and locations to identify weaknesses and potential risks for the business, Deep-dive technical review of the models assessing the conceptual soundness and appropriateness of model methodologies, data quality, and model implementation, among others, Ensure model compliance with regulations, internal policies and industry best practices. Collaborate closely with cross-functional teams including model developers, risk managers, and stakeholders to address model-related findings and promote best practices. Stay up to date with industry trends and regulatory guidelines, in particular related to generative AI and advanced analytics models to be able to contribute to the continuous improvement of validation methodologies, standards and automation
As part of the MVBOA Tribe, you will contribute to further building and developing the team by sharing knowledge and by embracing ING's Agile way of working.How to succeed We are looking for enthusiastic colleagues who enjoy performing quantitative analyses, writing & defending high quality validation reports, and have an intrinsic curiosity to continuously expand their knowledge. In particular, as a member of our team, you have: An advanced degree (PhD or Masters) in a quantitative discipline, such as Computer Science, Data Science, Statistics, Mathematics, Physics, Econometrics, Quantitative Finance or related field, Excellent knowledge of classic machine learning methods: supervised and unsupervised learning, classification, regression, clustering, text mining, etc., Profound understanding of deep learning generative AI approaches, especially Large Language Models and their popular applications, Analytical skills with the ability to critically assess complex models, effectively articulate and document model risk findings, Minimum 1-2 years of professional experience in validation or development of machine learning models in a financial institution or related industry, English verbal and writing proficiency at C1/C2 level, Excellent communication skills to collaborate with cross-functional teams and present validation results to both technical and non-technical stakeholders, Experience writing code in Python (R, SAS or other statistical programming language), data processing and advanced visualization, You are results-oriented, committed to high standards and quality of work You'll get extra points for: Understanding of rule-based models as applied in the banking sector, Experience with the Agile way of working, Being enthusiastic, open-minded, communicative and a pro-active team player. Original hobby Your main base is Cedar Amsterdam. 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. You can find out more about our employment conditions at
The benefits of working with us at ING include:
A salary tailored to your qualities and experience 24-27 vacation days depending on contractPension scheme13th month salaryIndividual Savings Contribution (BIS), 3.5% of your gross annual salary8% Holiday paymentHybrid working to blend home working for focus and office working for collaboration and co-creationPersonal growth and challenging work with endless possibilitiesAn informal working environment with innovative colleagues
About us
With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.
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.
Please note, multiple interview steps involving various business stakeholders will be part of the selection process.
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