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About the Role

This hybrid role involves working as an analyst and data scientist on projects like credit acceptance, personalization, transaction categorization, and pricing. As an analyst, you will optimize product funnels, develop reports, design A/B tests, and generate business insights. As a data scientist, you will develop full modeling pipelines using tree-based approaches. You will collaborate with a skilled team, take ownership, and share knowledge.

Responsibilities

Extract business insights from data
Be actively involved in the development of the full data science pipeline
Collaborate with cross-functional teams including product managers, engineers, marketers, and data scientists
Work on credit acceptance modeling and funnel analysis
Develop complex reporting tools covering credit risk and collections funnels, including monitoring data quality and integrity
Develop propensity to buy models
Design, implement, and analyze A/B tests and other experiment designs
Analyze test results using statistical methods to derive actionable insights and make data-driven recommendations
Present findings and recommendations to stakeholders clearly and concisely

Requirements

Strong background in statistics
Experience building classifiers based on boosting algorithms
At least 4 years of experience in the financial sector
Domain knowledge in credit risk, collections, pricing, or marketing intelligence

Skills

Python
Pyspark
SQL
Communication skills
Presentation skills
Analytical skills
Statistics

Location

Amsterdam

Work Type

Hybrid

Experience Level

At least 4 years of experience

Education Level

Strong background in statistics
Master in econometrics

Benefits

25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
Informal working environment with innovative colleagues

About the Company

ING is a global bank with a strong European base, serving around 38 million customers and corporate clients in over 40 countries with more than 60,000 colleagues.
The Retail Banking Analytics (RBA) Chapters provides ING with expertise for analytics lending, pricing, and personalization.
The RBA team is based in Amsterdam and consists of 15+ highly-skilled Data Scientists from diverse nationalities and backgrounds.
ING empowers people and businesses to move forward, fostering a collaborative environment focused on positive impact, sustainability, and superior customer value.
ING is a community of innovators, problem-solvers, and forward-thinkers dedicated to making a real impact.