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Private Banking - Intern - Digitalisation & AI in Portfolio Management

Other-InternNo visa sponsorship
ING Bank logo

at ING Bank

Other

Posted 8 days ago

No clicks

**Private Banking Intern - Digitalisation & AI in Portfolio Management:** ING seeks a motivated intern for a project-driven role at the intersection of investment management, data analytics, and AI. You'll analyze Portfolio Management processes, identify data-driven improvements, and develop AI prototypes to enhance client discussions. Key responsibilities include process analysis, opportunity identification, and prototype development. Required skills: strong analytical skills, familiarity with AI and automation, proficiency in data tools (e.g., Python, Power BI), and knowledge of investment management. This is a unique opportunity for a student or recent graduate to gain real-world experience in a dynamic finance environment.

Compensation
Not specified

Currency: Not specified

City
Brussels
Country
Belgium

Full Job Description

During the internship, you will explore how data, automation and artificial intelligence can support the day-to-day work of Portfolio Managers within ING Private Banking & Wealth Management.

The internship is designed as a genuine project with a defined business problem, analytical work, experimentation and tangible recommendations at the end.

You will be part of the core team responsible for analysing selected Portfolio Management processes and identifying opportunities to make them more data-driven, efficient and scalable. A key focus will be the preparation and follow-up of client investment meetings: the goal is to investigate how AI could help Portfolio Managers prepare more personalised and consistent client discussions, combining portfolio data, performance information and investment insights.

Your responsibilities will span across the full project life cycle, from process analysis and opportunity identification to concrete prototypes or proof of concepts that can be tested with Portfolio Managers.

This role offers a unique opportunity to work at the intersection of investment management, data analytics, technology and client experience, gaining exposure to and knowledge of these different domains.

Private Banking - Intern - Digitalisation & AI in Portfolio Management

Compensation

Not specified

City: Brussels

Country: Belgium

ING Bank logo
Other

8 days ago

No clicks

at ING Bank

Other-InternNo visa sponsorship

**Private Banking Intern - Digitalisation & AI in Portfolio Management:** ING seeks a motivated intern for a project-driven role at the intersection of investment management, data analytics, and AI. You'll analyze Portfolio Management processes, identify data-driven improvements, and develop AI prototypes to enhance client discussions. Key responsibilities include process analysis, opportunity identification, and prototype development. Required skills: strong analytical skills, familiarity with AI and automation, proficiency in data tools (e.g., Python, Power BI), and knowledge of investment management. This is a unique opportunity for a student or recent graduate to gain real-world experience in a dynamic finance environment.

Full Job Description

During the internship, you will explore how data, automation and artificial intelligence can support the day-to-day work of Portfolio Managers within ING Private Banking & Wealth Management.

The internship is designed as a genuine project with a defined business problem, analytical work, experimentation and tangible recommendations at the end.

You will be part of the core team responsible for analysing selected Portfolio Management processes and identifying opportunities to make them more data-driven, efficient and scalable. A key focus will be the preparation and follow-up of client investment meetings: the goal is to investigate how AI could help Portfolio Managers prepare more personalised and consistent client discussions, combining portfolio data, performance information and investment insights.

Your responsibilities will span across the full project life cycle, from process analysis and opportunity identification to concrete prototypes or proof of concepts that can be tested with Portfolio Managers.

This role offers a unique opportunity to work at the intersection of investment management, data analytics, technology and client experience, gaining exposure to and knowledge of these different domains.