Oferta pracy

Global KYC Transaction Monitoring Optimisation – Senior Business Analyst

ING Hubs Poland

ING Hubs Poland

aleja Jana Pawła II 22

Śródmieście

Warszawa

Your responsibilities

  • Developing and maintaining new Methodologies

  • Act as a senior SME in the team by supporting colleagues in different locations and as a backup for the Manager

  • Perform advanced analytics using Python (e.g., rule-based model development, customer segmentation, predictive analytics)

Our requirements

  • You have 8+ years experience working in global financial services industry with demonstrable success in defining methodologies and processes, preferably with large global financial institutions,

  • You have experience in Trade based Money Laundering, Trade Finance, Markets (FX, Commodities etc), Quantexa and other non-payment platforms including threshold setting and tuning of these systems.

  • You have demonstrable knowledge and application of analytics / modelling / artificial intelligence activities as applicable to TM Monitoring Alert Systems Optimization,

  • You have experience in building, updating and maintaining analytics methodology for model development and tuning in Transaction Monitoring area,

  • You have understanding of key regulations (such as EU AML Directives, BSA related in-country regulations), recommendations from global institutions (such as FATF, Wolfsberg and Basel); and global / regional intelligence sharing initiatives and their respective effects on the operational landscape of KYC including the interaction with the 2nd line,

  • You have experience with statistical inference (e.g. predictive analytics, clustering, Machine Learning Algorithms) and you are experienced Python programmer and very familiar with modules pandas, sklearn, pyspark, numpy,

  • You are fluent in English,

  • You have an ability to identify problems, analysing key information and making connections, in order to find appropriate solutions.

  • English level - C1.

Optional

  • AML Cerification (ACAMS, ICA)

  • Academic degree / Masters / Phd in Maths or Statistics

  • Prior experience in managing a team / other people

  • Accreditation for project management such as Agile, Prince2 or PMP

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • integration events

  • corporate gym

  • video games at work

  • parking space for employees

  • leisure zone

Information about the squad:

You will operate in a team responsible for defining the methodology for optimizing the Monitoring Alert Systems, conducting ad-hoc analysis related to our regulatory committed programs, and providing guidance to the team of investigation analysts that perform the tuning of the systems.

These global systems monitor customer transactions for indicators of financial and economic crime. The tuning, testing and optimization of these systems is a regulatory requirement and requires statistical, investigative, data analysis, program and operational disciplines to deliver.

Reporting to the Chapter lead. Key elements of the role include:

Defining and maintaining a robust and defensible methodology for optimizing the Monitoring Alert Systems, both initial threshold setting (risk UAT), and ongoing tuning of thresholds (back-testing).

Defining the methodology for segmentation / peer grouping of ING clients, and the execution and maintenance of segmentation in the alert generation system

Business Analysis to identify potential improvements within the methodologies, including, but not limited to, the application of advanced analytics to the enhancement of TM Systems Optimization.

Perform advanced analytics to support strategic program like Backtesting, tuning of rule-based models or Segmentation