Market Risk Data Analyst in ETL process

We are looking for you if:

• You are mid/senior professional knowledgeable in ETL process with SQL (SSMS),

• You understand data management concepts data quality, data lineage and data reconciliation,

• You are a communicator and like to liaise with stakeholders such as data teams, reporting teams, UAT team, QRM rollout team,

• You possess project management skills,

• You are a team player,

• You are a problem solver,

• You enjoy working in an international team and environment,

• You are pro-active and eager to learn,

• You have strong analytical skills.

English level - B2.

You'll get extra points for:

• Reporting skills, preferably in PowerBI,

• Experience in Finance (Bank or Insurance company),

• ALM Risk knowledge, understanding a bank balance sheet and being able to connect the dots between the data and the ALM reporting outcome,

• Being familiarized with any ALM software (i.e., QRM, Fusion Risk, OneSumX, Moody's Analytics),

• Master’s degree in econometrics, mathematics, economics, IT, or similar quantitative study.

• Experience in Agile (Scrum) way of working is preferred.

Your responsibilities:

• Quickly understand complex data and ETL processes on inhouse data platform,

• Transformation and load of finance data flows into QRM,

• Support reporting teams in development of data marts and reporting solution in PowerBI,

• Stakeholder management.

Information about the squad:

• International Project team of around 90 ALM specialists operating from Amsterdam (NL), Warsaw (PL) and Manila (PH). This particular position is based in Warsaw.

• We work Agile in ALM Project teams consisting of Market Risk Management, TECH Developers, ALM Data Experts, ALM Business Analysts, QRM Experts.

• Our focus is building a “One Standard” ALM solution for the whole of ING. Development of this ALM platform has been prioritized as one of ING’s most important strategic worldwide objectives. Step by step new countries are on-boarded.

• The ALM project team is divided into smaller squads. In the role of ALM Data analyst you will be required to quickly understand complex data and ETL processes. You will build new functionality to process and handle big data streams. The ALM data is mainly used for Net Interest Income (NII) forecasting, valuation and replication (i.e. hedging). You will be 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.

• The role of Warsaw office is growing which creates a demand for new talents.