Senior Machine Learning Engineer (Modelling), Risk

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Requirements:

• Bachelor's degree in a quantitative field such as Mathematics/Statistics/Physics or Machine Learning; Masters or PhD preferred.
• 3+ years of experience in machine learning, artificial intelligence, or a related field.
• Strong knowledge of machine learning algorithms and data analysis techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, capable of explaining complex concepts to non-technical stakeholders.
• Technologies used include Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras), MySQL, Snowflake, Tableau, GCP/AWS.

Responsibilities:

• Build machine learning models to detect and act against fraudulent activity.
• Research emerging fraud patterns.
• Lead and participate in cross-functional initiatives to tackle problems.
• Collaborate with engineering, product, and operations teams.
• Work with ML Engineering teams to operate models at scale and in real time.
• Contribute to growth through mentoring and supporting fellow modellers.
• Exercise autonomy and responsibility in solutions from design through operation.