working on both the business and IT side of the ALM processes and must be able to translate functional requirements from business analyst into technical solutions,
understanding complex data and ETL processes on the in-house data platform,
supporting the transformation and loading of finance data flows into QRM,
monitoring and maintain the correctness of data flows,
translating (internal) Risk/Finance data requests into understandable and actionable items and designs with the team,
assisting in the development of Data Quality controls and new data solutions to end-users,
supporting reporting teams in the development of data marts and reporting solutions in Power BI.
Information about the squad:
ING Bank is standardizing the implementation for Interest Rate Risk, Liquidity Risk and Forecasting across its banking books, driven by regulatory requirements and internal risk management insights.
The role naming convention in the global ING job architecture will be "Data Management Expert II".
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
Additional Information
ING Hubs Poland is hiring!
The expected salary for:
senior specialist position: 7 100 - 14 500 PLN
The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
We are looking for you if you:
understand and interested in complex data and data structures,
are a communicator and like to liaise with data teams, reporting teams, UAT team and IT teams,
act as the link between stakeholders providing data requirements and developers needing technical specifications,
are someone with a "can-do" mentality who excels in a collaborative environment. You are a problem solver,
enjoy working in an international team and environment,
are proactive and eager to learn,
have strong analytical skills,
have knowledge and interest in ETL and data processes,
have minimum 2 years of experience working in business analysis, data analytics, or data science in the banking sector (preferably ALM side),
have hands-on experience working with SQL is a must-have,
are familiar with data management concepts such as data quality, data lineage, and data reconciliation,
have some intuition of data requirements for ALM software, Risk, or Financial reporting,
have experience in requirement gathering for data feeds,
are familiar with data models and structures.
You'll get extra points for:
experience in Asset and Liability Management or any Risk control / modelling function,
ALM Risk knowledge, understanding a bank balance sheet, and being able to connect the dots between the data and the ALM reporting outcome,
familiarity with any ALM software (i.e., QRM, Fusion Risk, OneSumX, Moody's Analytics),
reporting skills, preferably in Power BI,
Master's degree in econometrics, mathematics, economics, IT, or a similar quantitative study,
experience in Agile (Scrum) methodologies.
Ing · Warszawa (pańska 97)