Model Developer Predictive Analytics

Role purpose: Design, build, validate, and deploy predictive analytics models that improve decision-making and business outcomes through reliable, scalable data science solutions.

Core responsibilities

Develop predictive models (e.g., classification, regression, time series) from problem definition through deployment.

Translate business requirements into measurable objectives, features, and model evaluation criteria.

Perform data extraction, cleaning, feature engineering, and exploratory analysis to support modeling.

Select algorithms, train models, tune hyperparameters, and validate performance using appropriate metrics.

Implement model monitoring, drift detection, and periodic retraining to maintain accuracy over time.

Collaborate with engineering and stakeholders to productionize models and integrate outputs into products or workflows.

Document assumptions, methodologies, and results to ensure transparency and reproducibility.

Required skills

Predictive modeling: statistical learning, machine learning, model validation, and performance measurement.

Programming: Python or R; ability to write clean, testable, maintainable code.

Data: SQL, data wrangling, feature engineering, and working with structured datasets.

Tools: common ML libraries (e.g., scikit-learn, statsmodels) and version control (e.g., Git).

Communication: explain model results, limitations, and trade-offs to technical and non-technical audiences.

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 professional with a sound quantitative foundation who is eager to further develop within credit risk modelling.

We are looking for someone with a strong analytical background and 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:

Develop, maintain, and enhance credit risk models for the Dutch portfolio, ensuring strong alignment with regulatory and business needs.
Design and implement regulatory models for IRB and IFRS 9 purposes, contributing to methodological improvements.
Analyse and interpret developments in provisions, risk costs, RWA, and arrears, translating outcomes into actionable insights.
Build and refine credit decision and in-life management models (e.g., Early Warning Systems).
Contribute to the integration of ESG risk into credit risk frameworks and analytics, in line with the bank-wide ESG strategy.
Support the introduction of new products and processes by ensuring robust credit risk measurement and informed decision-making.
Collaborate with Risk colleagues on the development and validation of credit risk policies, ensuring regulatory compliance and consistency.
Work closely with front office, Group Risk, and Finance to align priorities and share expertise across functions.
Partner with IT and data teams to ensure reliable data, infrastructure, and analytical environments.
Apply advanced analytics and, where relevant, AI/ML techniques to improve modelling approaches and efficiency.
Utilize modern tools (e.g., Python-based libraries) to enhance modelling and analytical workflows.
Stay current on developments in data science, AI, and credit risk, and apply these in practice.
Operate effectively within ING’s agile Way of Working (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.

4-6 years of experience in Credit Risk Modelling, including IRB, IFRS9 and/or Credit Decision models.
Strong quantitative background with deep knowledge of statistical methods, combined with practical experience in data science and credit risk domains.
MSc or PhD in a quantitative field (e.g. mathematics, physics, econometrics).
Proven track record in developing and implementing (credit risk) models.
Solid expertise in statistics and mathematical modelling.
Strong programming skills, preferably in Python, SAS (Base/Macro), SQL and related tools.
Experience with analytical and business tooling (e.g. SAS EG, Excel, Access, SharePoint).
Experience with data sourcing, processing, and working with large datasets.
Good understanding of the banking industry, lending products, and credit risk processes.
Hands-on experience or strong interest in applying AI/ML techniques in risk or analytics.
Experience in interacting with and advising senior stakeholders and guiding junior analysts.
Strong analytical mindset with the ability to translate complex problems into practical solutions.
Clear and effective communication skills, with the ability to write and report in English at a professional level.

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.
(opens in new window)

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
(opens in new window).

Gerelateerde vacatures

Interesse in meer mogelijkheden? Bekijk deze vacatures binnen hetzelfde vakgebied. Wellicht zit jouw volgende uitdaging ertussen!

Solution Architect Data & AI Services

7.087 - 9.449

Senior

Den Haag

As a Solution Architect Data & AI Services at NN, you define end-to-end architecture for Data & AI products and cloud-native platforms, align business and engineering, design secure/scalable integration patterns,...

Meer lezen Direct solliciteren

Actuaris team Pensioenen

AFM

64.000 - 106.000

Medior, Senior, Junior

Amsterdam

Als Actuaris team Pensioenen bij de AFM analyseer je (gedrags-)risico’s, begeleid je de pensioentransitie en werk je aan thematisch toezicht en onderzoeksprojecten. Je vertaalt data naar inzichten en voert toezichtgesprekken...

Meer lezen Direct solliciteren

Werkstudent Quantitative Research Aandelen - Zeist

Achmea

2.632 - 3.539

Student

Zeist

Als Werkstudent Quantitative Research Aandelen - Zeist bij Achmea Investment Management ontwikkel en verbeter je kwantitatieve aandelenmodellen, onderzoek je factorpremies (value, momentum, quality, low vol) en vertaal je analyses naar...

Meer lezen Direct solliciteren

Domain Architect Finance & Risk Management NN Bank

7.602 - 10.136

Senior

The Hague

As a Domain Architect Finance & Risk Management NN Bank at Nationale-Nederlanden Bank vertaal je strategie naar toekomstbestendige Finance & Risk-architectuur, ontwerp en beheer je het applicatielandschap, maak je roadmaps...

Meer lezen Direct solliciteren

Finance

Business

Business Support

Technology

Hubs per Sector

Model Developer Predictive Analytics

Wat zegt datacarriere.com over deze vacature?