Data Scientist – AI Fintech

Singapore on site Until 8/22/2026 First posted March 18, 2026 Last posted March 18, 2026
Job description

Role: Data Scientist - AI Fintech

Location: Singapore

We are partnering with a leading AI Fintech seeking a Data Scientist with expertise in banking models, fraud analytics, and machine learning. You will design predictive models, detect fraud patterns, and collaborate with Risk, Product, and Engineering teams to deliver data-driven solutions.

Responsibilities:

  • Build and deploy machine learning models for credit risk, payments, and fraud detection.

  • Analyze transactional data to identify fraud patterns and emerging risks.

  • Perform feature engineering, model training, validation, and monitoring.

  • Collaborate with cross-functional teams to implement models into production systems.

  • Ensure all models meet regulatory and compliance standards.

Requirements:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.

  • Proven experience in data science, preferably within banking, fintech, or fraud analytics.

  • Strong proficiency in Python, SQL, and machine learning techniques.

  • Hands-on experience with NLP techniques.

  • Familiarity with Generative AI or LLMs is a plus.

  • Solid understanding of banking products, fraud schemes, and risk modeling techniques.

  • Hands-on experience with supervised and unsupervised machine learning, applied statistics, and AI methods.

#LI-RK1 #LI-Onsite

About this role

Summary

Design and deploy machine learning models for fraud detection and risk analysis.

Job title

Data Scientist – AI Fintech

Experience level

null

Industry

fintech

Location requirements

On-site in Singapore, no remote work allowed.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

PythonSQLmachine learningNLP

Preferred skills

Generative AILLMs

Specializations

banking modelsfraud analyticsmachine learningNLPAI
Locations

Structured locations inferred from the posting.

Singapore

On-site City
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