sharing the costs of sports activities
Senior Data Scientist/ Engineer in Transaction Monitoring Optimisation Analytics
ING Hubs Poland
- aleja Jana Pawła II 22, Śródmieście, WarszawaWarszawa, Masovian
- offer expired 3 months ago
- contract of employment
- senior specialist (Senior)
- hybrid work
- remote recruitment
Technologies we use
About the project
Transaction Monitoring (TM) analyzes customer transactions for signs of financial crimes and is divided into units within the TM Services Tribe, including TM Operations, Global Optimisation, Risk and Coverage and Global TM Transformation, as well as Centers of Excellence for Process & Procedures, Quality and Development, and Business Intelligence, Management, and Transformation.
TM Optimisation focuses on improving the efficiency and effectiveness of the automated monitoring solution by reducing noise while maintaining effectiveness and identifying financial crime risk.
As the Senior Data Scientist/ Engineer in Transaction Monitoring Optimisation Analytics Team, you will be supporting Optimisation activities 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.
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).
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, predictive modeling, 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.
You have minimum 5 years of total work experience with established and proven analytics skills, having been in a Data Scientist/ Engineer or similar role for at least 3 years, preferably in reputable financial services.
You have the ability to identify problems, analysing key information and making connections, in order to find appropriate solutions.
You have the 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.
You are experienced Python programmer, very familiar with modules pandas, sklearn, pyspark, numpy.
You are familiar with statistical inference (e.g., predictive analytics, clustering, Machine Learning Algorithms) and strong knowledge of Apache Hadoop and Spark.
You are proactive, with can-do attitude and positive mindset.
Accreditation or certification in CAMS, ICA or equivalent.
Knowledge of Agile development methodology, including the team backlog, reviews and all other related events (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 optimisation processes.
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
video games at work
parking space for employees
Information about the squad:
The Global Know Your Customer organization provides ING with standardized solutions for KYC related regulations and operational excellence. As part of the Global KYC organization within ING COO, the Global KYC Delivery Tribe develops solutions on socially relevant topics such as AML, CTF, fraud, sanctions, and implements them globally across 40+ countries and 36+ million ING customers. This involves collaborating with market-leading vendors and thought leaders and working with colleagues from different disciplines and backgrounds.