Data Analyst in Financial Risk ETL process
4 tygodni temu
Join to apply for the Data Analyst in Financial Risk ETL process role at ING Hubs Poland
What you need to bring:
- Knowledge and interest in ETL and Data processes
- Minimum 2 years of experience working in business analysis, data analytics, or data science in the banking sector (preferably ALM side)
- Hands-on experience working with SQL is a must-have
- Familiarity with data management concepts such as data quality, data lineage, and data reconciliation
- Some intuition of data requirements for ALM software, Risk, or Financial reporting
- Experience in requirement gathering for data feeds
- Familiarity with data models and structures
- Experience in Asset and Liability Management or any Risk control/modeling 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:
In the role of ALM Data analyst, you will be required to quickly understand complex data and ETL processes. You will maintain 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 analysts into technical solutions.
- Understand complex data and ETL processes on the in-house data platform.
- Support the transformation and loading of finance data flows into QRM.
- Monitor and maintain the correctness of data flows.
- Translate (internal) Risk/Finance data requests into understandable and actionable items and designs with the team.
- Assist in the development of Data Quality controls and new data solutions to end-users.
- Support 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.
- Growing Warsaw Office: The expanding role of our Warsaw office is driving the demand for fresh talent.
- Agile ALM Project Teams: We operate in Agile teams that include Market Risk Management, TECH Developers, ALM Data Experts, ALM Business Analysts, and QRM Experts.
- Unified Implementation: 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.
- Collaborative Culture: We prioritize mutual support, knowledge sharing, teamwork, and continuous improvement, both professionally and personally.
- Young and International: Our team is youthful and globally oriented, focusing on developing new functionalities and methodologies for our ALM platform.
- Stakeholder Relations: 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.
- Data-Driven Solutions: 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.
Mid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesBanking, Financial Services, and IT Services and IT Consulting
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