Market Risk BA in ALM reporting solution

Who we are looking for?

Our future colleague should be a strong analytical thinker with the ability to create, challenge and improve data techniques. The candidate should be a team-player, get things done and should be able to communicate and align clearly to internal (Finance and Financial Risk) and external (ECB, EBA) stakeholders and senior management and also be able to translate these requirements to our developers. Also, a pro-active attitude, willingness to develop further and continuously look for improvements within the team and tribe is appreciated.

What you need to bring:

• Collaborates well in a team environment.
• Minimum 5 years of experience working in business analysis, data analytics or data science 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.

English level - B2.

You'll get extra points for:

• Being familiarized with any ALM software (i.e., QRM, Fusion Risk, OneSumX, Moody's Analytics).
• IT affinity.
• Master’s degree in econometrics, mathematics, economics, or similar quantitative study.
• Experience in Agile (Scrum) way of.

Your 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 (e.g. ALCO /stress test inputs)

• 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 reporting model in ARA (ALM results area) to structurally support an efficient delivery of complex data requests.
• Implementation and roll-out of new data solutions to end-users and locations.

Information about the squad:

• International Project team of around 90 ALM specialists operating from Amsterdam (NL), Warsaw (PL) and Manila (PH). This particular position is based in Warsaw. The role of Warsaw office is growing which creates a demand for new talents.
• We work Agile in ALM Project teams consisting of Market Risk Management, TECH Developers, ALM Data Experts, ALM Business Analysts, QRM Experts.

• 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.
• We (the ALM analysis and reporting team) 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 developing new functionality and methodologies for reporting in our ALM platform. When joining the team you will work on the implementation and roll-out of one central ALM Results area (ARA) as well as supporting the team with monthly ALM data deliveries and reconciliations for reporting purposes. In the ALM accelerated program we will increase the speed of this roll out by identifying reporting gaps between our solution and what is required for locations and implementing them in our application.
• 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, i.e. Financial Risk teams (central ALM reporting team), ING locations and ING Finance teams.
• 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.
• You should have a strong affinity with position (more specifically Finance and ALM Risk) data and be able to cooperate with internal and external stakeholders to find the structural best solution for ING.  Experience with Finance systems, especially in the area of ALM or Treasury related data, is appreciated.