TRM engineer

At ING we value and support our employees before recruiting external talent. If you think this vacancy is the right next step in your ING career, we’d encourage you to apply. Should you have questions about the vacancy or need to hear more before you feel you can apply. Please do not hesitate to reach out to the responsible recruiter.
We are seeking a talented Python Developer/Expert to join our Engineering squad within the Trading Risk Management division of ING Bank. This is a unique opportunity to be part of a diverse and dynamic team that is driving innovation in the field of trading risk.

We redefine banking. What about you?
ING’s purpose is to empower people to stay a step ahead in life and in business. To continue doing this in a world that is changing quicker than ever before, we need to be make sure our risk processes are well-structured, efficient and robust. This is where you come in! Will you help us transform our business into a more data-driven environment?

We are looking for you:
You are passionate about coding, cloud infrastructure and next to automation, continuous integration and continuous delivery, automated testing and configuration management.

You’re always looking to improve the services and aware of what the market is doing to see where we can improve even further.

• Strong Python work experience, o Have experience with Numpy & Pandas o Understand core Python concepts o Testing

• Working knowledge of Excel spreadsheets and SQL,

• Ability to interpret VBA scripts

• Experience with agile way of working and scrum,

• Knowledge of Financial products and Risk Management is a must,

• You need to have a wide exposure to various business processes in the area

• Understand concepts behind pricing / valuation

• Fluent in English (written and verbal) and excellent communication skills.

• Experience leading projects

Moreover:

• You have a learning attitude. Not only to master new technologies, but also on the interpersonal level. You realize that the value of your work is quality x acceptance and want to become better at both. You are proven to be able to give, ask and incorporate feedback.

• You feel at home in a high-performing team, and you make the other team members feel at home as well. You have the independence to speak up when needed.

• You are a team player, you trust others and can be trusted,

• A collaborative approach to solving problems while bringing positive energy to the team, and

• Ability to give and receive professional feedback.

Your key responsibilities

• Lead risk management automation projects

• Convert excel spreadsheets with macros into python scripts,

• Perform root cause analysis of production errors and resolve technical issues,

• Build tools to reduce occurrence of errors and improve customer experience,

• Deploy updates and fixes and provide technical support

Your work environment
You work in ING’s Trade Risk Management Tribe, responsible for mitigating risk for trade activities. You will play a key role in transforming the business into a data-driven environment and will grow a platform team to build a solution that empowers risk managers and to nurture better analysis.
In our Engineering team, stability, predictability and transparency are of key importance for everything we do. You will develop features and insight solutions for the various risk management processes. By working closely together with international ING teams you help transferring this service into a global service where automation, AI and a scientific approach will bring our consumers steps ahead.
Other tasks are focused on maintaining / implementing and enforcing security models and policies. Furthermore, automating maintenance and administrations tasks for this environment will be also part of the day-to-day tasks.

About us
Curious about how ING empowers people and businesses to move forward?

Discover what we do and what we can offer you.

Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.