Vista previa de la oferta
Product Manager - Consumer Finance Analytics
senior · Data Science & Analytics
This role has been initially posted on the 15th of July therefore the mobility scheme does not apply.
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.
Retail Banking Analytics (RBA) in ING Analytics is looking for a Product Manager for Consumer Finance domain. As a Product Manager you will originate and build data-driven algorithmic products. This is an entrepreneurial and global role in an innovative international team.
The team
RBA specialises in delivering Analytics and AI products and solutions across the ING retail business. We work together with all retail business units to deliver on the ING retail banking strategy. Projects span across personalisation and CI, mortgages, consumer finance, collections, pricing, and business banking.
Roles and responsibilities
Lead assigned analytics product development in prioritised area(s) in RBA
Potential to extend product area when further grow.
Product discovery: identify (data) problems, prioritize idea backlog and design and execute experiments to determine what problems need solving
Work with a squad of Data Scientists and Engineers to discover the potential of a product idea, the user problem and validate and prototype
Manage data-driven products so that they generate significant value for ING and its customers
Create value propositions, vision and product strategy
Good understanding of innovation and product management methodologies such as Lean, Agile and Design Thinking
Ability to develop structured product concepts from abstract ideas and lead prototyping
Demonstrate thought leadership internally and externally
Understanding and enthusiasm for technology, advanced analytics and data science methods
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.
Previous experience leading and delivering analytics use cases and products is a must
Previous experience and proven knowledge of working in corresponding area is a plus.
5-7 years of relevant experience
Masters Degree
Written and spoken fluency in English
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. Find out more about our employment conditions.
The benefits of working with us at ING include:
25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward?
Discover what we do and what we can offer you.
Questions?
Please visit our Frequently Asked Questions section to find some answers on questions you might have.
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.