Risk Management Data Scientist

What role you will play in team: Develop and implement machine learning models for fraud detection and risk assessment within the bank.

What you will do: Work with large financial datasets, build predictive models, and monitor their performance to mitigate financial risks.

Key responsibility:

• Develop and implement machine learning models for fraud detection.
• Analyze large financial datasets to identify risk factors.
• Evaluate model performance and make necessary adjustments.
• Collaborate with risk management teams to implement solutions.
• Develop and maintain documentation for models and processes.

Required Qualification and Skills:

• Master's degree in Data Science, Statistics, or a related field.
• Experience in developing machine learning models for risk management.
• Strong programming skills in Python or R.
• Knowledge of financial markets and risk assessment techniques.
• Excellent communication and presentation skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for career growth within a global financial institution.
• Challenging and rewarding work environment.

A Day in the Life: A day involves analyzing financial data, building and testing machine learning models for fraud detection, and collaborating with risk management professionals to improve the bank's security posture.