Chapter Lead - Data Science

At ING, we put our customers at the forefront of everything we do. Through the leading products we offer, to the experience our customers have with us. A driving force behind our success is that we’re always using data to understand what it is our customers want, to enable our internal teams ensure that we’re building products and systems to meet and exceed those demands.

Join our growing Customer Interactions team as Chapter Lead - Data Science where you’ll be responsible for developing and uplifting ING’s advanced analytics capability.

Managing a local and global squad, our ideal candidate has a consulting background and who can manage the daily stand ups, review the backlog, and manage and address any impediments, who can work with data flows or any changes in technology and has excellent stakeholder management who can work across the business as required. You’ll be a gun at spotting opportunities and supporting the business with data science user cases.

You’ll have a true flair with presentations and enjoy preparing packs for senior leader and our executive team where you’ll also act as the representative for our international community with our global data science AI community and bring user case to the global team for insights and discussion. Given data science is highly governed with data ethics, you’ll own the responsible use of AI within ING Australia.

You’ll support and attend with the Tribe Lead Customer Interactions for global forums making the model risk management committee about the technicalities of AI.

If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing data challenges, then this role is definitely one you shouldn’t miss!

What you’ll do

• Develop and enhance ING’s data science and machine learning environment to improve business outcomes.
• Build advanced analytics foundation and capability by working in conjunction with data engineers and developers to drive advanced analytics infrastructure projects.
• Perform comprehensive advanced analytics to understand / solve business opportunities / issues and understand / optimise customers, their usage and behaviour.
• Evaluate and implement advanced analytics tools (e.g. Python, R)
• Provide ad-hoc analysis to key stakeholders.
• Represent ING Australia on advanced analytics projects with the global advanced analytics unit.
• Coach and Mentor other members in the ING analytics community on more advanced analytical techniques.

What we’re looking for

• Bachelor's / or Master’s in Analytical disciplines (Data Science, Econometrics, Mathematics, Statistics, and Actuarial Studies).
• Experience with building and deploying statistical and machine learning models in a commercial environment
• 3-5 years of Data Science leadership management experience including remote team.
• Experience in ‘Big Data’ platforms and data warehouse solutions
• Experience in cloud based environments – Google Cloud Platform, Microsoft Azure, Amazon AWS
• Extensive skills in using analytical tools such as Python, R, Hadoop, Spark and SQL.
• Experience using tools such as Power BI, Tableau for data visualisation and insights.
• Minimum 3 years experience in practical AI building models validating testing
• Minimum 10 years of business, database systems and data analysis experience and minimum 2 years in project management
• Ideally you will be come from a consulting background with Change management methodology
• Knowledge of regulatory and commercial issues within financial services and financial services industry experience are highly regarded
• Excellent problem solving, analytical and research skills, with a strong attention to detail.

What’s in it for you?

• Discounted ING Health Insurance
• An additional Rest Day to support your wellbeing
• An IMPACT day to volunteer on an approved sustainability activity

About Us

At ING, we want to make life simpler and more worthwhile – for everyone who banks with us, for the people who work with us, and the community at large, too.

When you come to work at ING, you’re joining a team where individuality isn’t just accepted, it’s encouraged. We’ve built a culture that’s fun, friendly and supportive – it’s the kind of place where you can be yourself and make the most of whatever you have to offer.

We give people the freedom to think differently, take ownership of their work, and make great things happen. We’re here to help you get ahead. And with our global network, there’s plenty of scope to take your career in new directions, perhaps even ones you’ve never considered.

We are all about celebrating success and as a result we are proud to be a WGEA Employer of Choice for Gender Equality and a certified Family Inclusive workplace.

Sound like the kind of place you’d feel at home? We’d love to hear from you.

(One last thing, ING operates a direct talent sourcing model. So no agency introductions, please.)

Need more?
Contact Rachel Yuen on rachel.yuen@ing.com

Applications close on 10 October 2024