Intern: Credit Risk Data LLM Research & Implementation

at ING

📍 Amsterdam, Netherlands

EUR 8,400 per year

INTERN

✅ Hybrid

✅ Visa Sponsorship

🕙 36 hours per week

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Communication @ 6 LLM Leadership @ 3 Project Management @ 3 SQL @ 3

Details

The Credit Risk Data Remediation team ensures that Default and LGD data is of appropriate quality for model development purposes by processing cashflow, facility, and collateral data.

Responsibilities

Contribute to the LLM project of the LGD Data Automation team.
Gather and analyze data to identify needs and recommend solutions, including designing and developing management reports or dashboards based on management information requirements.
Engage stakeholders who will use automated processes and gather their input to ensure solutions meet their needs.
Assist with testing, migration, and implementation of new systems.
Monitor automated processes after deployment and collect feedback and performance data to identify areas for improvement.
Train team members on new tools and processes.
Participate in and recommend the development, maintenance, and optimization of policies and guidelines within Data Remediation.
Perform other assigned duties and responsibilities.

Requirements

Demonstrated leadership in work and/or academic settings.
Strong written and verbal communication skills, with the ability to interact comfortably at all organizational levels, including senior leaders.
Expertise in automation and data transformation tools, such as Microsoft Excel macros, SQL, or SAS programming.
Good project management skills and the ability to create clear rollout plans.
Ability to work in a fast-paced, deadline-oriented, dynamic, and changing environment.
Strong attention to detail.
Ability to manage multiple tasks simultaneously.
Strong customer service orientation and a high sense of urgency in meeting goals and deadlines.
Ability to influence others and think creatively and strategically.
Ability to analyze and solve problems.
During the internship, enrollment at a Dutch university is mandatory, or at an EU university for EU passport holders.

Benefits

Internship allowance of EUR 700 based on a 36-hour work week.
Work laptop.
Hybrid working, combining home working with office-based collaboration and co-creation.
Personal growth and challenging work.
Informal working environment with innovative colleagues.
Opportunity to train with highly skilled specialists and build a professional network.