Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a senior data science professional, you will join the ING Analytics group within the COOA tribe to develop innovative, scalable data-driven solutions for Financial Crime and Fraud domains. You will work in a collaborative squad to build models that mitigate risk, ensure compliance, and contribute to a safer banking environment.

Responsibilities

• Create innovative, scalable data-driven solutions for Financial Crime Analytics.
• Address complex problems including imbalanced classification, outlier detection, entity resolution, and network/graph applications.
• Collaborate with multiple teams to implement solutions across the organization.
• Ensure alignment on technical requirements and delivery standards.
• Adopt best practices for developing and deploying model pipelines in accordance with ING model governance.
• Act as an effective member of a model development and implementation squad.
• Engage with stakeholders and communicate data insights effectively.
• Mentor junior data scientists.

Requirements

• At least 5 years of global work experience in Data Science, including statistical modeling and machine learning.
• MSc or PhD in Data Science, Computer Science, Mathematics, Physics, Engineering, Econometrics, or a similar field.
• Profound theoretical understanding of Machine Learning (Classification, Outlier detection, NLP, Regression, Clustering).
• Extensive experience with algorithms such as Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, and K-Means.
• Strong Python programming skills, including object-oriented programming, package development, and Git.
• Experience with Apache Spark.
• Excellent communication skills with the ability to explain complex subjects clearly.
• Ability to work collaboratively in a semi-remote, globally distributed team.

Skills

• Statistical modeling
• Machine learning
• Python
• Object-oriented programming
• Git
• Apache Spark
• Financial crime analytics
• Data visualization and storytelling

Work Type

• Hybrid

Experience Level

• Senior

Education Level

• MSc
• PhD

Salary/Compensations

• 13th month salary
• 8% Holiday payment

Benefits

• 25-28 vacation days
• Pension scheme
• Hybrid working
• Personal growth opportunities
• Challenging work environment

About the Company

• One of the largest banks in Europe.
• Global bank serving 38 million customers in over 40 countries.
• Focused on becoming a data-driven organization with advanced analytics at the heart of business processes.

Equal Opportunity

• ING considers every application regardless of race, religion, color, national origin, sex, disability, or age.