Financial Crime Data Scientist

What role you will play in team: You'll be a key member of our team responsible for developing and implementing machine learning models to detect financial crimes.

What you will do: You'll work closely with compliance officers to build and maintain predictive models that identify suspicious activities.

Key responsibility:

• Develop and deploy machine learning models for fraud detection and anti-money laundering.
• Analyze large datasets of financial transactions.
• Collaborate with compliance officers and other stakeholders.
• Evaluate model performance and make necessary adjustments.
• Stay current on the latest developments in financial crime detection.

Required Qualification and Skills:

• Master's degree in Data Science, Statistics, or related field.
• Experience with machine learning algorithms and techniques.
• Strong programming skills in Python or R.
• Understanding of financial regulations and compliance issues.
• Excellent problem-solving and analytical skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• Dynamic and challenging work environment.
• Impactful work contributing to financial crime prevention.

A Day in the Life: Your daily tasks will involve data analysis, model development, collaboration with compliance teams, and monitoring of model performance.