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Data Scientist – Machine Learning in AI Fintech

CygnifySingapore
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Required Qualifications:Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.3+ years of relevant experience in data science, specifically in banking or fraud analytics. Proficient in Python, SQL, and machine learning frameworks; experience with Generative AI (GenAI) and Large Language Models (LLMs) is advantageous. Strong grasp of banking products, fraud detection methodologies, and risk modeling techniques. Hands-on experience with both supervised and unsupervised machine learning, applied statistics, and modern AI practices.

About the job

Position: Data Scientist – Machine Learning in AI Fintech

Join Cygnify, a prominent player in the AI Fintech sector, as we seek a skilled Data Scientist with a strong background in banking models, fraud detection, and machine learning techniques. In this role, you will be integral in designing predictive models, identifying fraud patterns, and collaborating with Risk, Product, and Engineering teams to deliver effective data-driven solutions.

Key Responsibilities:

  • Develop and deploy machine learning models focused on credit risk management, payment systems, and fraud detection.

  • Conduct thorough analysis of transactional data to uncover fraud patterns and assess emerging risks.

  • Execute feature engineering, model training, validation, and ongoing monitoring to ensure model performance.

  • Work closely with cross-functional teams to integrate models into existing production systems.

  • Ensure compliance with all regulatory and industry standards regarding model deployment.

About Cygnify

Cygnify is at the forefront of AI Fintech innovation, combining advanced technology with deep domain expertise to deliver transformative solutions for the banking sector. Join us to make a significant impact in the world of financial technology.

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