Fintech Innovation Collaboration Opportunity
Contact principal

Chronologie
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octobre 6, 2025Début de expérience
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décembre 5, 2025Fin de expérience
Portée de Expérience
Catégories
Modélisation financière Services financiers Technologie de l'informationCompétences
blockchain self-motivation financial market digital currency finance financial technology (fintech) constructive feedback machine learning artificial intelligence critical thinkingMontclair State University’s Fintech course invites employers to collaborate with undergraduate students who are exploring how disruptive technologies are reshaping the financial services sector. These learners are building foundational knowledge in blockchain, digital currencies, and the evolving regulatory and ethical landscape of fintech—without the use of technical tools or machine learning applications.
Through this experience, students will analyze real-world developments and challenges in fintech, focusing on critical thinking, research, and communication. Employers are expected to provide a clear project focus, maintain regular communication, offer any background materials needed, attend the final presentation virtually, and provide constructive feedback to each student group using the Riipen platform. This collaboration supports applied learning while giving organizations fresh insight into policy, ethical, and strategic fintech topics.
Apprenant.es
At the conclusion of the experience, employers can expect the following deliverables:
- A final report summarizing the group’s research findings, analysis, and recommendations.
- A recorded group presentation (10-15 minutes) detailing the project outcomes, followed by a Q&A session with the employer.
Chronologie du projet
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octobre 6, 2025Début de expérience
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décembre 5, 2025Fin de expérience
Exemples de projets
Ideal projects for this experience involve exploring emerging fintech trends and challenges. Below are examples of projects that align well:
- AI in Credit Risk Management: Analyze how artificial intelligence can improve credit risk assessment models.
- Blockchain for Payment Systems: Investigate blockchain applications to enhance payment security and efficiency.
- Digital Currency Adoption: Explore factors influencing the rise of digital currencies and their impact on financial markets.
- Regulatory Challenges in Fintech: Assess the implications of fintech regulation on innovation and market stability.
- Machine Learning in Trading: Evaluate machine learning models applied to algorithmic trading strategies.
Projects that are not a good fit:
- Tasks unrelated to fintech technologies or financial services.
- Projects requiring deep coding or software development beyond students’ current skill levels.
- Internal company confidential work without the possibility of sharing insights.
- Projects lacking clear scope or objectives suitable for group presentation and research.
Critères supplé mentaires pour entreprise
Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:
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Q1 - Texte court
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Q2 - Texte court
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Q3 - Texte court
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Q4 - Texte court
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Q5 - Texte court
Contact principal

Chronologie
-
octobre 6, 2025Début de expérience
-
décembre 5, 2025Fin de expérience