Do what’s best while fighting Financial Crime!
Warsaw based opportunity with a possibility to work remotely
As a Data Warehouse Analyst you will be working for our Client – a nationwide modern and digital bank that uses state-of-the-art technologies in order to provide excellent services to corporate and individual customers. You will design and implement AML processes and solutions associated with a wide variety of data sets and also collaborate across the Treasury Department to essentially monitor and investigate suspicious financial activity.
Your main responsibilities: Establishing the content of the Predictive Solutions tool’s online interfaces with the Bank’s systems
- Determining the content of batch interfaces of the Predictive Solutions tool with the data warehouse, analysis and implementation of the interface
- Extracting and compiling various sources of information and large data sets from complex systems to identify and analyse outliers
- Setting up process for monitoring, tracking, and trending department data
- Preparing and reporting mandated reports and analysis
- Implementing and using the analytics software and systems to support the departments goals
You’re ideal for this role if you have:
- 5+ years of experience in a similar role
- Expertise in best practises, data warehouses and reporting techniques
- Knowledge of data warehouse issues
- Past experience as a data analyst in complex IT projects
- Ability to consistently interpret and assess the details for risks
- Fluent Polish
- Preferably higher technical or financial education
#GETREADY to meet with us!
We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.
Internal number #6229
Adres:
SKYLIGHT BUILDING | ZŁOTA 59 | 00-120 WARSZAWA
BUSINESS LINK GREEN2DAY BUILDING | SZCZYTNICKA 11| 50-382 WROCŁAW
Kontakt:
INFO@ITDS.PL
+48 883 373 832