Cygnify
10 months ago
Machine Learning Engineer - AI Fintech
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Company information
- Company
- Cygnify
- Location
- Singapore, Central Singapore
- Posted
- 10 months ago
Job description
Role: Machine Learning Engineer – AI Fintech
Location: Singapore
We are partnering with a leading AI Fintech seeking a Machine Learning Engineer with expertise in AI/ML, banking models, and fraud analytics. You will design predictive models, detect fraud patterns, and collaborate with Risk, Product, and Engineering teams to deliver data-driven solutions.
Responsibilities:
Requirements
Location: Singapore
We are partnering with a leading AI Fintech seeking a Machine Learning Engineer with expertise in AI/ML, banking models, and fraud analytics. 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 Computer Science or IT
- 3+ years of experience in machine learning, ideally with a focus on banking or fraud analytics.
- Strong skills in Python, SQL, and machine learning tools; experience with GenAI and 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.
Required skills
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