Financial Risk Analyst - Machine Learning

What role you will play in team: Develop machine learning models to assess and manage financial risks.

What you will do: Apply machine learning techniques to improve risk assessment processes.

Key responsibility:

• Develop and implement machine learning models for fraud detection and credit risk assessment.
• Evaluate model performance and make recommendations for improvement.
• Collaborate with risk management teams to integrate models into existing workflows.
• Stay up-to-date with the latest advancements in financial technology.
  
• Maintain detailed documentation of model development and deployment.

Required Qualification and Skills:

• Master's degree in Finance, Statistics, or a related field.
• Experience with machine learning algorithms and techniques.
• Strong programming skills in Python or R.
• Understanding of financial markets and risk management principles.
• Excellent analytical and problem-solving skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and advancement.
• Collaborative and supportive work environment.
• Opportunities to work on challenging and impactful projects.
• Work from office.

A Day in the Life: Develop and test models, analyze results, communicate findings, and collaborate with risk management teams.