- 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
- Minimum 5 years of experience working in business analysis, data analytics or data science of which minimum of 3 years of relevant experience in the banking sector (preferably ALM side).
- Proficient oral and written communication skills in English.
- Capable of acting as connector between Risk, Finance and IT
- Getting things done.
- You can switch in roles to ensure a mix of content, seniority and organizational sensitivity.
- Strong analytical, problem-solving, communication skills.
- Hands-on experience working with SQL, Power BI, or similar tool is a plus.
- Collaborates well in a team environment.
- A salary tailored to your qualities and experience
- 24-27 vacation days depending on contract
- Pension scheme
- 13th month salary
- Individual Savings Contribution (BIS), 3.5% of your gross annual salary
- 8% Holiday payment
- Hybrid working to blend home working for focus and office working for collaboration and co-creation
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues
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Data Risk Analyst ALM - Amsterdam, Nederland - ING
Beschrijving
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.
The Team
We value helping each other, sharing our knowledge in the team, working together on delivering on our promises and reflecting on how we can improve in our work but also personal developments and growth. We are a young, internationally focused team (both in scope of our work and our team composition) and focus on develop new functionality and methodologies for risk management in one target platform (QRM). Our team puzzles out the right balance between conceptual risk management and practical implementation solutions and therefore we find it important that you have strong analytical skills.
When joining the team you will work on the implementation and roll-out of one central ALM Data Results area (ARA) as well as supporting the team with monthly ALM data deliveries and reconciliations for reporting purposes.
You will play a central role within ING and your success will depend on your ability to maintain good relations with our end-users and stakeholders, . Financial Risk teams (central ALM reporting team), ING locations and ING Finance teams.
Roles and responsibilities
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 (. 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.
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we back you to develop into an even more awesome version of yourself.
Our future colleague should be a strong analytical thinker with the ability to create, challenge and improve data techniques. In addition a team-player, who gets things done and able to communicate and align clearly to internal (Finance and Financial Risk) and external (ECB, EBA) stakeholders and senior management and translate requirements to our developers. Pro-active attitude is good to have, willingness to develop further and continuously look for improvements within the team and tribe is appreciated.
We highly appreciate a strong affinity with the role (more specifically Finance and ALM Risk data) and experience with Finance systems, especially in the area of ALM or Treasury related data.
Rewards and benefits
We want to make sure that it's possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at
The benefits of working with us at ING include: