Alternative Data for FinTech Innovation

Key Takeaways

Who Should Attend

To ensure an optimal learning experience, participants should possess:

• A basic understanding of AI and Machine Learning models.
• A basic working knowledge of Python or another programming language is highly recommended (but not strictly mandatory).
  

What to Bring

No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.

If you are bringing a laptop, please see below for the tech specs:

What Will Be Covered

This course will cover:

• FinTech Market Landscape & Alternative Data Fundamentals: Map the disruptive evolution of financial technology and evaluate how non-traditional data sources—such as transactional patterns, social media, ESG signals, and geolocation—add distinct competitive advantages over traditional datasets.
• Data Integration, Consolidation & Confidentiality: Learn practical methodologies for securely merging traditional financial databases with alternative datasets to compile a comprehensive, 360-degree customer view, while strictly maintaining data confidentiality and compliance with financial regulations.
• Risk, Governance & Regulatory Compliance: Design robust data governance frameworks and risk checklists that address operational, ethical, cybersecurity, and legal hurdles associated with open banking, data partnerships, and technology deployment in regulated environments.
• Explainable AI, Model Deployment & Evaluation: Assess the effectiveness of alternative underwriting models (such as credit scoring and microfinancing), establish alternative benchmarks, and master how to integrate modular infrastructures while conveying model interpretability to key stakeholders.
• Generative AI, Synthetic Data & Agentic Workflows: Harness cutting-edge AI tools (including LLMs) to generate and label synthetic text datasets, utilise prompt engineering, and explore how intelligent autonomous agents can safely accelerate scenario analysis and financial decision-making.

Fees & Subsidies

1. SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
3. SME fees are applicable only to participants who are sponsored by small and medium enterprises.
4. SSG funding is subjected to availability.

Certificate

The NUS-ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and pass the required assessments.

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.