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.
Your responsibilities:
- 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:
Dynamic international team comprising around 90 ALM specialists based in Amsterdam (NL), Warsaw (PL), and Manila (PH). This position is specifically located in Warsaw. ALM Project Teams operate in Agile teams that include Market Risk Management, TECH Developers, ALM Data Experts, ALM Business Analysts, and QRM Experts.
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 involves supporting ING’s headquarters, with success hinging on maintaining strong relationships with end-users and stakeholders, including Financial Risk teams, local Risk Managers, and Finance teams. We handle Finance and ALM Risk data, collaborating with internal and external stakeholders to find optimal structural solutions for ING globally. Experience with Finance systems, particularly in ALM or Treasury-related data, is highly valued.
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.
Skills Required
- Minimum 2 years experience in business analysis, data analytics, or data science in the banking sector (preferably ALM)
- Hands-on experience working with SQL
- Knowledge and interest in ETL and data processes
- Familiarity with data management concepts: data quality, data lineage, data reconciliation
- Experience in requirement gathering for data feeds
- Familiarity with data models and data structures
- Ability to translate functional requirements into technical designs and liaise with stakeholders and IT
- Strong analytical and communication skills; collaborative problem solver
- Experience in Asset and Liability Management or risk control/modelling functions
- ALM risk knowledge and understanding of bank balance sheet impacts
- Familiarity with ALM software (QRM, Fusion Risk, OneSumX, Moody's Analytics)
- Reporting skills, preferably in Power BI
- Master's degree in econometrics, mathematics, economics, IT, or similar quantitative field
- Experience in Agile (Scrum) methodologies
What We Do
ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers
