Senior Data Analyst/ Scientist

at  ING

We are looking for you if:

You have -

• Master’s degree in Mathematics, Econometrics, Statistics, Computer Science, or similar.
• 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.

You are -

• Fluent in English speaking and writing.
• Experienced Python programmer, familiar with modules pandas, sklearn, pyspark, numpy.
• Experienced in SQL, able to understand and build complex queries.
• Proactive, with can-do attitude and positive mindset.

You’ll get extra points for:

• Knowledge of Apache Hadoop and Spark.
• Familiarity with statistical inference (e.g., predictive analytics, clustering).
• Familiarity with BI tools for reporting purposes (e.g., Power BI).
• 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.
• Accreditation or certification in CAMS, ICA or equivalent.
• Knowledge of Agile development methodology, including the team backlog, reviews and all related ceremonies (Kanban/SCRUM).

Your responsibilities:

• 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).
• Lead TM optimisation projects from data perspective, including cooperation with stakeholders across different countries within the bank, provide analytical advice and support, whenever required.
• Contribute to the processes and tools improvements as well as TM pillar development and look for enhancement opportunities.
• 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

• 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).
• Lead TM optimisation projects from data perspective, including cooperation with stakeholders across different countries within the bank, provide analytical advice and support, whenever required.
• Contribute to the processes and tools improvements as well as TM pillar development and look for enhancement opportunities.
• Support changes in methodology for optimizing Transaction Monitoring Systems