Data Analyst
AME (Amsterdam - Maple)
ING’s purpose is to empower people to stay a step ahead in life and business. Our strategy is built around our purpose and making the difference for people and the planet. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-chanel distribution strategy and international network.
We believe that sustainable progress is driven by people with the imagination and determination to make a better future for themselves and those around them.
ING is changing what banking is. For you, that means plenty of opportunities for personal growth in a continuously evolving environment. If this is the environment you thrive in, then apply and join us in changing the future of banking!
The team
The Operational Risk Economic Capital (OREC) team, within ING COO Risk/Modelling Tribe, is responsible for the end to end implementation of a new OREC model. You will be part of the team contributing to an improved way of calculating OREC and reporting on it. You will be part of an international and enthusiastic team. Openness in communication and “can do” mentality are important characteristics of the team.
Role & Responsibilities
- Creating data models for reporting based on specific user requirements (for instance Group Treasury or Non-Financial Risk).
- Implementing models on SAS VIYA by recoding from other languages like R, Python, etc.
- Keeping contact with the stakeholders, in Risk management domains (local and global, Non-Financial Risk, Model Development), to understand their requirements.
- Creating relevant documentations regarding the implementation of the new models.
- Finding efficiencies and challenging the status-co of existing processes.
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’ll back you to develop into an even more awesome version of yourself.
- You have experience in working with large databases within the financial services industry (preferably Operational risk related) and have a thorough understanding of:
- Datawarehouse concepts and data modelling techniques in the context of a complex data landscape.
- Transferring data from location A to location B
- Translating business requirements and observed defects into clear user stories for the development.
- Importance of script hygiene for readable and understandable code and clear documentation.
- You are experienced in how to optimize scripts to reduce processing time and data storage.
- Knowledge of Operational Risk concepts (Internal Loss, External Loss, Scenario’s, etc) is a plus.
In addition (required)
- You have an enthusiastic personality and enjoy working in a diverse environment.
- You have strong communication skills.
- You are a real team player with a pro-active attitude.
- You can write and speak in English fluently.
- You are stress resilient, able to prioritize, and manage effectively.
- You constantly develop yourself professionally and are passionate about Operational Risk related topics.
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 and reward our people with a generous benefits offer and employment conditions.
Questions?
Contact the recruiter attached to the advertisement for more information. Want to apply directly? Please upload your CV and motivation letter by clicking the “Apply” button.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking ML models Python R SAS
Perks/benefits: Career development
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