Who We Are Looking For:

The candidate who will focus on global solution for SOT reporting of IRRBB measures.A strong Python programmer and analytical thinker who can create, challenge, and improve reporting techniques.A team player with a “can-do” mentality, capable of clear communication and alignment with internal stakeholders and senior management.Someone who can act as the link between stakeholders providing functional requirements and developers needing technical specifications.A proactive individual with a commitment to continuous improvement within the team and tribe.A collaborative team player experienced in managing complex data and data structures, contributing to ALM risk management.Someone who understands complex ALM data requests from supervisors (ECB, EBA) and can translate these into structured, timely deliverables.

What You Need to Bring:

Strong collaboration skills in a team environment.At least 2 years of experience in business analysis, data analytics, or data science within the financial risk of a financial institution (preferably ALM side).Hands-on experience with Python.A Master’s degree in econometrics, mathematics, economics, or a similar quantitative field.Proficient oral and written communication skills in English.Ability to act as a connector between Risk, Finance, and IT.Strong analytical, problem-solving, and communication skills.

You’ll Get Extra Points For:

Familiarity with Regulatory Technical Standards on IRRBB supervisory outlier tests.Experience with SQL, Power BI, or similar tools.IT affinity.Certificates: FRM, PRM, CQF.Experience in Agile (Scrum) methodologies.

Your Responsibilities:

Translate business data requests into understandable and actionable items and designs with the team.Align and agree on results with main stakeholders and management.Develop new functionality and analysis capabilities in our target Python model for SOT to support efficient delivery of complex data requests (e.g., ALCO/stress test inputs).Implement and roll out new data solutions to end-users and locations.

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.