kiutra
Working Student(m/w/x)
Full-time/Part-timeWorking StudentOn-site
München
New Job?Nejo!
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HAHawk
Legal - Working Student(m/w/x)
München
Full-timeWorking StudentOn-site
AI/ML
Nejo AI Summary
Legal review and drafting for AI-supported anti-money laundering and fraud detection technology. Law degree program enrollment with commercial/corporate/tech/financial regulatory law coursework and C1+ English essential. Direct involvement in cross-functional AI/FinTech projects.
Requirements
- Enrollment in a law degree program
- Staatsexamen, bachelor’s or master’s with coursework in commercial, corporate, tech, or financial regulatory law
- Strong interest in tech, SaaS, fintech, or compliance regulations
- Strong English skills (C1 or above); German skills are a plus
- Detail-oriented and organised
- Ability to work independently and take initiative
- Strong communication skills and collaborative mindset
- Reliability and discretion when handling confidential information
Tasks
- Review, draft, and organize commercial agreements
- Conduct legal research on financial regulation and compliance
- Maintain internal legal documentation and templates
- Monitor regulatory changes and update stakeholders
- Assist in cross-functional projects with various teams
- Track deadlines and manage external counsel documents
Education
- Vocational certificationOR
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Benefits
Diverse Work
- Hands-on experience
Other Benefits
- Supportive environment
Startup Environment
- Cross-functional exposure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hawk and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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HAHawk
Legal - Working Student(m/w/x)
München
Full-timeWorking StudentOn-site
AI/ML
Nejo AI Summary
Legal review and drafting for AI-supported anti-money laundering and fraud detection technology. Law degree program enrollment with commercial/corporate/tech/financial regulatory law coursework and C1+ English essential. Direct involvement in cross-functional AI/FinTech projects.
Requirements
- Enrollment in a law degree program
- Staatsexamen, bachelor’s or master’s with coursework in commercial, corporate, tech, or financial regulatory law
- Strong interest in tech, SaaS, fintech, or compliance regulations
- Strong English skills (C1 or above); German skills are a plus
- Detail-oriented and organised
- Ability to work independently and take initiative
- Strong communication skills and collaborative mindset
- Reliability and discretion when handling confidential information
Tasks
- Review, draft, and organize commercial agreements
- Conduct legal research on financial regulation and compliance
- Maintain internal legal documentation and templates
- Monitor regulatory changes and update stakeholders
- Assist in cross-functional projects with various teams
- Track deadlines and manage external counsel documents
Education
- Vocational certificationOR
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Benefits
Diverse Work
- Hands-on experience
Other Benefits
- Supportive environment
Startup Environment
- Cross-functional exposure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Hawk and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Hawk
Industry
FinancialServices
Description
The company is the leading provider of AI-supported anti-money laundering and fraud detection technology.
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