Chapter Lead Analytics Engineering
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Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries strong financial position omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity compliance and QA measures where we are committed to deliver stable and secure services to end users and where we have a no nonsense getting-things done mentality please read on!
We create advanced analytics applications in the Financial Crime and Fraud Prevention (FCFP) domain. We are tackling fundamental high impact problems in the financial services industry. We are passionate about protecting both our customers and our society delivering products that make ING a safer and more compliant bank.
The team
Leads a chapter sets the standards for the chapter area and takes responsibility for developing innovating and safeguarding knowledge in the field of expertise to deliver technical activities related to the continuous delivery of working services for the organization and its customers. Develops and leads people to meet both their individual goals career goals organizations goals. Delivers and maintains IT applications and services in order to realize the organizations strategy in the field of information technology.
Roles and responsibilities
s we continue our growth and establishing the added value data science and machine learning will bring to this transformation journey we seek a leader for our data science chapter. This means you have to be a hands-on coach. A Chapter lead role splits his/her time 50-50 over engineering and leading a chapter.
You hierarchically oversee a chapter of 10-12 engineers. This covers the recruiting of new talents administration personal development and evaluation of your Chapter members.
You inspire and encourage your Chapter members to develop themselves providing them coaching on both the professional as well as the personal level.
Support & structure the growth and career trajectories of our outstanding Data & ML Engineers.
Challenge the status-quo & accelerate our work and capabilities to transition from building models to delivering state-of-the-art data products.
Enable our squads to make an impact and drive the growing process we undergo as an analytics group.
Promote advanced analytics approaches in the KYC domain and drive the business transformation together with our key stakeholders.
How to succeed
We hire smart people like you for your potential. Our biggest expectation is that youll stay curious. Keep learning. Take on return well back you to develop into an even more awesome version of yourself.
You have at least 10 years of (global) work experience in Data Analytics and Machine Learning (methods technology data)
You have experience in architecting & building analytics solutions from prototype to deployment
You have a proven track record of developing people and knowledge through coaching or mentoring
You have experience in leading teams to drive results and interact with (senior level) stakeholders
You have good oratory and presentation skills
You have experience in implementing analytics solutions in Agile ways of working
You have vast experience in understanding complex AI/ML problems and ability to devise best optimal ways of implementation.
You inspire and encourage your Chapter members to develop themselves providing them coaching on both the professional as well as the personal level.
What skills are we looking for:
Masters degree with excellent academic results in the field of Computer Science Mathematics Engineering or similar.
Excellent understanding of Data Engineering Analytics and machine learning applications & algorithms.
Knowledge of big data tools and frameworks (Hadoop Spark).
Experience in data manipulation and transformation using Scala/Python/Spark/SQL
Familiarity with Business Intelligence reporting & visualization tools e.g. Cognos PowerBI
Deployment and provisioning automation tools e.g. Docker Kubernetes Openshift CI/CD
Strong communication and stakeholder management skills are non-negotiable.
Rewards and benefits
We want to make sure that its 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
Contact the recruiter attached to the advertisement. Want to apply directly Please upload your CV and motivation letter by clicking the Apply button.
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
ING Global Career Opportunities - Welcome to 'careers at ING'. We give you the space to develop yourself as an intern, trainee and professional. Check out our opportunities. Jump on!
