Transaction Monitoring Optimisation Data Analytics - Senior Data Scientist/Engineer
Background on what ING is about (Generic ING background): ING Hubs Philippines (ING Hubs PH) is an international part of the ING organization delivering services to many Business Units across the world for both Wholesale Banking and Retail Banking activities. Working for ING Hubs PH means working with the most diverse workforce and where no challenge is the same.
At ING our purpose is to empower people to stay a step ahead in life and business. We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.
ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking!
Job Overview 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. TM Optimisation is part of Transaction Monitoring (TM) which 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.
The Transaction Monitoring is under Global Know Your Customer which 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.
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.
Key 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). 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. Key Capabilities/Experience 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. Ability to identify problems, analysing key information and making connections, in order to find appropriate solutions. Ability to clearly and succinctly express ideas and opinions, and present results of the analysis to non-technical stakeholders. Accreditation or certification in CAMS, ICA or equivalent. (preferred) Knowledge of Agile development methodology, including the team backlog, reviews and all other related events (Kanban/SCRUM). (preferred) 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. (preferred) Minimum Qualifications 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, Machine Learning Algorithms) and strong knowledge of Apache Hadoop and Spark. Proactive, with can-do attitude and positive mindset. #J-18808-Ljbffr
