We are looking for you if:

You have -

• Minimum 5 years of total work experience with established and proven analytics skills, having been in a Data Analyst/ Scientist/ Engineer or similar role for at least 3 years, preferably in reputable financial services.
• Ability to identify problems, analyzing key information and making connections, to find appropriate solutions.
• Ability to clearly and succinctly express ideas and opinions, and present results of the analysis to non-technical stakeholders.
• Strong knowledge of Apache Hadoop and Spark.
• An automation mindset, with a demonstrated ability to automate repetitive tasks and streamline processes.
• A keen interest and forward-thinking vision regarding recent trends in software development and technology, enabling you to anticipate and adapt to industry advancements effectively.

You are -

• Fluent in English speaking and writing.
• Experienced Python programmer, very familiar with modules pandas, sklearn, pyspark, numpy.
• Familiar with statistical inference (e.g., predictive analytics, clustering).
• Proactive, with can-do attitude and positive mindset.

Youll get extra points for:

• Accreditation or certification in CAMS, ICA or equivalent.
• Knowledge of Agile development methodology, including the team backlog, reviews and all related ceremonies (Kanban/SCRUM).
• Understanding of how money laundering, terrorist financing and tax evasion are executed, why, the differences between them and their impacts, as well as understanding of Transaction Monitoring (TM) optimisation processes.

Your responsibilities:

• Manage accesses, data and code repository (code review and testing on Azure DevOps). Adhere to stringent quality assurance and documentation standards using version control (e.g., Git, GitHub, Markdown).
• Planning, testing and management of the codebase, ensuring the resilience of the executions.
• Leverage statistical analytics to optimize thresholds aiming at assuring appropriate risk coverage, preventing false negatives to occur and minimizing volume of false positives.
• Perform advanced analytics using Python for other local and global initiatives within Transaction Monitoring (e.g., customer segmentation, development of new controls).
• Contribute to the processes and tools improvements as well as TM pillar development and look for enhancement opportunities.
• Cooperate with stakeholders across different countries within the bank, provide analytical advice and support, whenever required.
• Support changes in methodology for optimizing Transaction Monitoring Systems.

Information about the squad:

We are seeking a highly motivated and experienced Senior Data Analyst/ Scientist to join Transaction Monitoring Optimisation Analytics Team within Global Financial Crime and Fraud Prevention department.

In this role you will be supporting the Team to ensure optimal configuration of TM global monitoring systems before and after go-live. The role will be accountable for supporting projects like Risk UAT (Initial threshold setting), Backtesting, Targeted Tuning, Customers segmentation, New controls development, and other initiatives related to internal and regulatory committed programs.

The role naming convention in the global ING job architecture will be "KYC Process Design & Control"