Data Scientist | Financial Crime | Transaction Monitoring @ING Hubs Romania
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from our office in Bucharest.
Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.
We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.
For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?
The Mission
Within ING, there is ING Analytics (INGA) - a major driving force in its digital transformation of the bank. By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING to become a data-driven leader. Among others, INGA delivers call & speech analytics, generative AI in risk summarization, insights into portfolio performance, advanced ESG data insights (commercial purposes), data analytics platforms (cloud and on-premises), and many more.
We are looking for a Data Scientist to join us in Bucharest. In this role, you will be responsible for scoping, developing, validating, and documenting machine-learning-based solutions which will form the core of the products that INGA develops. You will collaborate closely with other scientists and analysts in evaluating model performance to ensure the best possible performance.
Your day-to-day
A typical day for a data scientist starts with coffee, catching up with colleagues, and drafting a plan for the coming day. After the standup, you will start developing machine learning solutions, adopting best practices and quality standards for fit-for-purpose model pipelines. As an effective team member of the model development & implementation team, you will challenge the status quo while addressing the requirements of the ING model governance.
After lunch, you will prepare fraud advance models to be deployed to production. Finally, to wrap up the day, you will actively explore INGA’s domain and engage in creating a journey that makes our bank and our society safer.
What you’ll bring to the team
Bachelor's degree in computer science, mathematics, engineering, or econometrics.
1-3 years of work experience in the data science field.
Good understanding of supervised and unsupervised machine learning methods.
Strong Python programming skills, Apache Spark, SQL, Git.
Excellent communication skills, capable of working collaboratively in a semi-remote, globally distributed team.
Nice to have
Broad experience with end-to-end machine learning projects; involvement in all modeling steps (from data extraction to production).
Background in writing production-ready code and a solid understanding of object-oriented programming is a strong plus.
Proactive and can-do attitude (self-steering).
Curious mindset; you are collaborative and passionate about helping others to grow and improve.
Able to embrace challenges in a fast-changing and complex environment.
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