Senior Specialist – Data Scientist within Global KYC Delivery Tribe

<p><b>ING Hubs Poland is hiring!</b></p><p></p><p>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.</p><p></p><p><b>We are looking for you if:</b></p><ul><li>You have a university degree (preferably in IT, Engineering, Maths or Economics/Business).</li><li>You have working experience in IT process.</li><li>You have strong SQL skills with a proven track record of applying them effectively in professional data analysis and reporting tasks.</li><li>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.</li><li>You have hands-on experience with PySpark enabling efficient processing and analysis of large-scale distributed data.</li><li>You excel at identifying, analyzing, and resolving code errors and performance issues across complex data pipelines.</li><li>You have familiarity working with Git and can collaborate on codebase in a distributed team environment.</li><li>You have an understanding of data governance, data quality and data quality remediation.</li><li>You have industry knowledge and experience in performing data analysis / analytics and can facilitate decision-making to drive complex analytical issues to a conclusion.</li><li>You have an ability to recover from setbacks, learn from critical feedback or failure, and persevere in the face of adversity.</li><li>You have strong interpersonal skills, and you are self-organized.</li><li>You have proactive, can-do, no surprises and positive mind-set.</li><li>You are fluent in English speaking and in writing.</li></ul><p></p><p><b>You'll get extra points for:</b></p><ul><li>Ability to provide support to stakeholders to meet and understand their needs and expectations.</li><li>Experience in working with data in the areas of Financial Economic Crime, Anti Money Laundering and/or Compliance.</li><li>AML related accreditation or certification.</li><li>Experience in Agile/Scrum/DevOps.</li><li>Experience in creating dashboards using Power BI.</li></ul><p></p><p><b>Your responsibilities:</b></p><ul><li>Identification and analysis of business issues in Transaction Monitoring Lookback data,</li><li>Collaborate with stakeholders to define, align, and validate the approach for dataset selection and usage,</li><li>Analyzing and interpreting complex datasets to uncover insights, and effectively communicate data quality issues and their business impact through compelling narratives and visualizations.</li><li>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</li></ul><p></p><p><b>Information about squad:</b></p><p><span><span>ING Hubs Poland is an Equal Opportunity Employer and place a high value on diversity and inclusion of our employees. TM Payments &amp; Shared Solutions is part of Global Financial Crime &amp; Fraud Prevention organization within ING COO which delivers global solutions across 20+ countries, affecting 36 million ING <span>customers. Through</span> 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.</span></span></p><p><span> </span></p><p><span><span>The role naming convention in the global ING job architecture will be “Financial Crime Prevention Process Design &amp; Control II”.</span></span></p>