Data Risk Analyst ALM

at  ING

ING Bank is rolling out one standard implementation for Interest Rate Risk and Forecasting in the banking books. Regulations and internal risk management insights require us to enhance our ALM capabilities to be implemented consistently throughout ING Bank.

ABOUT US

With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

We are looking for a committed and collaborative team player, who is experienced in managing data, understands complex data and data structures and how these contribute to managing ALM risk. Also understanding complex ALM data requests from our supervisors (ECB, EBA) and able to translate these into structured and timely deliverables is key.

• Translate (external and internal) business data requests into understandable and actionable items and designs with the team.
• Align and agree results with main stakeholders and management.
• Develop new functionality and analysis capabilities in our target model in QRM to structurally support an efficient delivery of complex data requests.
• Implementation and roll-out of new data solutions to end-users and location

Development of functionality that structurally support the locations and ING Head Office in the timely and consistent delivery of complex analysis and reporting-data requests in an ALM results area (e.g. ALCO /stress test inputs).

We are looking for a committed and collaborative team player, who is experienced in managing data, understands complex data and data structures and how these contribute to managing ALM risk. Also understanding complex ALM data requests from our supervisors (ECB, EBA) and able to translate these into structured and timely deliverables is key.

• Translate (external and internal) business data requests into understandable and actionable items and designs with the team.
• Align and agree results with main stakeholders and management.
• Develop new functionality and analysis capabilities in our target model in QRM to structurally support an efficient delivery of complex data requests.
• Implementation and roll-out of new data solutions to end-users and locations