Machine Learning Specialist

What role you will play in team: Develop and implement machine learning models to improve risk management and fraud detection.

What you will do: Collaborate with risk management and compliance teams to identify and mitigate financial risks.

Key responsibility:

• Develop and deploy machine learning models for fraud detection and risk assessment.
• Evaluate model performance and identify areas for improvement.
• Collaborate with cross-functional teams to integrate models into existing systems.
• Maintain and update models to ensure accuracy and effectiveness.
  
• Stay up-to-date with the latest advancements in machine learning and financial technology.
• Document findings and present them to stakeholders.

Required Qualification and Skills:

• Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).
• 3-5 years of experience in machine learning, with a focus on financial applications.
• Proficiency in Python or R and relevant machine learning libraries.
• Strong understanding of statistical modeling and machine learning techniques.

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  Excellent communication and presentation skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development.
• Dynamic and challenging work environment.
• Hybrid work options.

A Day in the Life: Developing and testing machine learning models, collaborating with stakeholders, and staying current on industry trends.