Oferta pracy

Data Analyst - Analytics Platform Implementation

ING Hubs Poland

ING Hubs Poland

aleja Jana Pawła II 22

Śródmieście

Warszawa

Technologies we use

Expected

  • Apache

  • Hadoop

  • Python

  • Scala

About the project

The resource operates in a team responsible for implementation of Advanced Analytics & AI Solutions within the Global KYC Delivery Tribe. The Data Analyst will closely work with the Data Experts and Data Stewards from Source Systems of Wholesale Bank and Retail Countries, SMEs, product experts and Data analysts from Quantexa or other strategic Analytics Platforms chosen by Global KYC.

Your responsibilities

  • Interpret data, analyse results usingstatistical techniques and provide ongoingreports

  • Identify, analyse, and interpret trends orpatterns in complex data sets

  • Work closely with Data Stewards with domainexpertise and Product Owner to prioritizebusiness and information needs

  • Delivering data specific to risk andregulatory requirements - delivering data torequisite interfaces

Our requirements

  • You have several years of proven working experience as Data Analyst in specific domain/area like Trade based AML having deep expertise on Transaction Monitoring,

  • You have expertise in studying and Detecting AML suspicious trends and patterns enabling data-driven decision making,

  • You have good understanding on the processes involved in data processing such as ETL, Big Data Technologies data quality and remediation,

  • You are experienced Python programmer and you have strong knowledge of Apache Hadoop, Spark, Scala,

  • You have experience with statistical inference (e.g. predictive analytics, clustering, Machine Learning Algorithms, Network Analysis),

  • You are able to clearly and succinctly express ideas, facts and opinions,

  • You have strong analytical skills,

  • You are fluent in English speaking and in writing

Optional

  • Understanding of KYC processes (CDD, transaction monitoring, AML, Screening),

  • Involvement in data specific projects, with exposure to fraud, financial crime, customer insight or compliance-based environments that utilise detection / predictive models,

  • Exposure to Trade Transactions monitoring and Big Data Technologies,

  • Agile development methodology,

  • AML Cerification (ACAMS, ICA).

This is how we organize our work

This is how we work

  • agile
  • 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