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
Skills Required
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data science, ideally with a focus on banking or fraud analytics
- Strong skills in Python, SQL, and machine learning tools
- 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
What We Do
Cygnify offers Talent Acquisition as a Service (TAaaS), providing a fully-managed team of experts, AI tools, and a candidate database on a flexible, month-to-month subscription model.
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