Senior Specialist – Data Scientist within Global Financial Crime and Fraud Prevention

ING Hubs Poland is hiring!

We are looking to recruit Data Scientist for Remediation Specials squad within the Global Financial Crime and Fraud Prevention tribe. This profile is a role required for delivery contributing to the overall Global FCFP landscape for remediation projects.

We are looking for you if:

• You have a university degree (preferably in IT, Engineering, Maths or Economics/Business).
• You have working experience in IT process.
• You have strong SQL skills with a proven track record of applying them effectively in professional data analysis and reporting tasks.
• You possess advanced Python skills, including object-oriented programming, and have hands-on experience with data analysis and Excel I/O libraries such as Pandas, NumPy, SciPy, scikit-learn, XlsxWriter, Openpyxl etc.
• You have hands-on experience with PySpark enabling efficient processing and analysis of large-scale distributed data.
• You excel at identifying, analyzing, and resolving code errors and performance issues across complex data pipelines.
• You have familiarity working with Git and can collaborate on codebase in a distributed team environment.
• You have an understanding of data governance, data quality and data quality remediation.
• You have industry knowledge and experience in performing data analysis / analytics and can facilitate decision-making to drive complex analytical issues to a conclusion.
• You have an ability to recover from setbacks, learn from critical feedback or failure, and persevere in the face of adversity.
• You have strong interpersonal skills, and you are self-organized.
• You have proactive, can-do, no surprises and positive mind-set.
• You are fluent in English speaking and in writing.

You'll get extra points for:

• Ability to provide support to stakeholders to meet and understand their needs and expectations.
• Experience in working with data in the areas of Financial Economic Crime, Anti Money Laundering and/or Compliance.
• AML related accreditation or certification.
• Experience in Agile/Scrum/DevOps.
• Experience in creating dashboards using Power BI.

Your responsibilities:

• Identification and analysis of business issues in Transaction Monitoring Lookback data,
• Collaborate with stakeholders to define, align, and validate the approach for dataset selection and usage,
• Analyzing and interpreting complex datasets to uncover insights, and effectively communicate data quality issues and their business impact through compelling narratives and visualizations.
• Designing and implementing end-to-end solutions to simulate transaction monitoring processes, with the primary objective of generating alerts for suspicious or anomalous activities, supporting risk mitigation and compliance effort

Information about squad:

ING Hubs Poland is an Equal Opportunity Employer and place a high value on diversity and inclusion of our employees. TM Payments & Shared Solutions is part of Global Financial Crime & Fraud Prevention organization within ING COO which delivers global solutions across 20+ countries, affecting 36 million ING customers. Through this, we will be able to deliver our customers an optimal KYC experience, whilst remaining compliant and in control of our risks and processes on a global scale.

The role naming convention in the global ING job architecture will be “Financial Crime Prevention Process Design & Control II”.