Data Science Associate

What role you will play in team: Support the development and implementation of machine learning models for financial risk management.

What you will do: You will work closely with experienced data scientists to improve risk assessment models.

Key responsibility:

• Data cleaning and preprocessing for machine learning models.
• Feature engineering and selection.
• Model training and evaluation.
• Deployment and monitoring of models in production.
  
• Documentation and communication of results.

Required Qualification and Skills:

• Bachelor's or Master's degree in a quantitative field.
• 1-2 years of experience in data science or a related field.
• Strong programming skills in Python or R.
• Experience with machine learning libraries (scikit-learn, TensorFlow).
• Understanding of statistical modeling techniques.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for career growth within a reputable organization.
• Exposure to real-world financial applications of data science.
• Mentorship from experienced professionals.
• Potential for international collaborations.

A Day in the Life: Your day will be filled with data manipulation, model building, testing, refining algorithms, and collaborating with your team to improve financial risk models.