Data Analyst - Financial Crime @ING Hubs Romania

at  ING

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 1700 high-performing engineers, risk, and operations professionals.
We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.
Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.
Our tech capabilities remain the core of our business, with more than 1500 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
As a Data Analyst, you will play a crucial role in preventing financial crime by assisting with the development and implementation of advanced machine learning models used to predict fraudulent transactions. You excel in handling and analyzing highly complex data, leveraging your advanced Python skills to convert data into actionable insights, automated reports, and dashboards. Working closely with data scientists and data engineers, you will support stakeholders in making informed decisions by providing in-depth analysis and clear visualizations.
Your day to day

Even if you’ll start your day from the comfort of your home or drink your morning coffee in our office’s garden, your day will be quite similar when comes to tasks. Here are your daily responsibilities:

• Identify, analyze, and interpret trends or patterns in complex data sets (both structured and unstructured textual data) in collaboration with data scientists and data engineers.
• You collect relevant data, analyze and report. You clean up and process raw data, correlate different types of data, recognize patterns, and help validate Machine Learning models.
• You assist with the development and implementation of the machine learning models used to prevent fraudulent transactions, being involved in activities such as exploring model improvement points, doing feasibility analyses of proposed solutions or carrying out ad-hoc analytics.
• You interpret data, analyze results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality.
• You develop automated reports and dashboards to monitor performance and track KPIs, presenting insights and outcomes in a concise and understandable manner to stakeholders.
• You support tribes and squads in their decision-making by describing and visualizing discovered insights and predictions and advise your business partners with actionable insights.

What you’ll bring to the team
Experience: 2-3 years of experience within data reporting & statistics

Tech stack/ knowledge:

• Advanced Python (including OOP)

• Identify, analyze, and interpret trends or patterns in complex data sets (both structured and unstructured textual data) in collaboration with data scientists and data engineers.
• You collect relevant data, analyze and report. You clean up and process raw data, correlate different types of data, recognize patterns, and help validate Machine Learning models.
• You assist with the development and implementation of the machine learning models used to prevent fraudulent transactions, being involved in activities such as exploring model improvement points, doing feasibility analyses of proposed solutions or carrying out ad-hoc analytics.
• You interpret data, analyze results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality.
• You develop automated reports and dashboards to monitor performance and track KPIs, presenting insights and outcomes in a concise and understandable manner to stakeholders.
• You support tribes and squads in their decision-making by describing and visualizing discovered insights and predictions and advise your business partners with actionable insights