Data Scientist – AI Fintech
- Location
- Singapore, SG
- Arrangement
- On-site
- Employment type
- Full-time
- Posted
- 24 July 2026 (about 2 months ago)
Checked about a month agoApplications go to the employer, never to RoleSprint
About this role
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
Work location
- Singapore, SG
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About this listing
Published on Ashby under the board identifier Cygnify, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 24 July 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.