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Sr. Data Scientist - AI Fintech

7,000 SGDSingapore, SGScore 65/1001d ago
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📊 AI / ML / Data Science: salaries and demand on the market
Stack
Liaising with cross functional teamsValidationCredit Risk Managementregulatory standardsRisk ModelingNatural Language ProcessingPayment ProcessingApplied StatisticsModel TrainingComputer ScienceFraud AnalysisSQL
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Description
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
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