Data Scientist - AI Fintech
Summary
Design and deploy AI-driven fraud detection and risk models for a fintech company, analyzing transaction data and collaborating with cross-functional teams.
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.
UEN: 202329526G
EA Licence: 23S2061