Junior Data Scientist - Risk Analytics

Role Overview

As a Junior Data Scientist in Risk Analytics, you will play a crucial role in developing and implementing machine learning models to assess and mitigate various risks. Your collaboration with senior data scientists and stakeholders will be essential in building robust risk management solutions, ultimately impacting the safety and security of customers.

Key Responsibilities

• Collect and clean data from various sources, including transactional databases and external data providers.
• Perform feature engineering to extract meaningful insights from raw data.
• Build and train machine learning models using Python and relevant libraries (scikit-learn, TensorFlow, Keras).
• Evaluate model performance using appropriate metrics and statistical techniques.
• Collaborate with senior data scientists to refine models and improve accuracy.
• Document model development and deployment processes.
• Present findings to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements in machine learning and risk analytics.
• Work within a team environment and be able to manage your own time.
• Work alongside compliance and regulation teams.

Qualification Required

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).
• Strong programming skills in Python.
• Experience with machine learning libraries (scikit-learn, TensorFlow, Keras).
• Familiarity with data visualization tools (Tableau, Power BI).
• Knowledge of statistical modeling techniques.
• Experience with SQL for data extraction and manipulation.
• Excellent communication and presentation skills.
• Familiarity with databases such as PostgreSQL or MySQL.
• Experience with data wrangling.
• Excellent problem-solving skills.

Additional Details of the Company

The company offers a competitive salary and benefits package, along with the opportunity to work on challenging and impactful projects. As a Junior Data Scientist, you will receive mentorship from experienced data scientists, access to professional development opportunities including training courses and conferences, health insurance coverage, paid time off and holidays, employee assistance programs, flexible work arrangements, and the chance to learn new skill sets in a positive work environment. A typical day involves reviewing project tasks and priorities, attending team meetings, coding, training models, analyzing data, preparing presentations for stakeholders, and planning for the next day's activities.

Role Overview

As a Junior Data Scientist in Risk Analytics, you will play a crucial role in developing and implementing machine learning models to assess and mitigate various risks. Your collaboration with senior data scientists and stakeholders will be essential in building robust risk management solutions, ultimately impacting the safety and security of customers.

Key Responsibilities

• Collect and clean data from various sources, including transactional databases and external data providers.
• Perform feature engineering to extract meaningful insights from raw data.
• Build and train machine learning models using Python and relevant libraries (scikit-learn, TensorFlow, Keras).
• Evaluate model performance using appropriate metrics and statistical techniques.
• Collaborate with senior data scientists to refine models and improve accuracy.
• Document model development and deployment processes.
• Present findings to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements in machine learning and risk analytics.
• Work within a team environment and be able to manage your own time.
• Work alongside compliance and regulation teams.

Qualification Required

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).
• Strong programming skills in Python.
• Experience with machine learning libraries (scikit-learn, TensorFlow, Keras).
• Familiarity with data visualization tools (Tableau, Power BI).
• Knowledge of statistical modeling techniques.
• Experience with SQL for data extraction and manipulation.
• Excellent communication and presentation skills.
• Familiarity with databases such as PostgreSQL or MySQL.
• Experience with data wrangling.
• Excellent problem-solving skills.

Additional Details of the Company

The company offers a competitive salary and benefits package, along with the opportunity to work on challenging and impactful projects. As a Junior Data Scientist, you will receive mentorship from experienced data scientists, access to professional development opportunities including training courses and conferences, health insurance coverage, paid time off and holidays, employee assistance programs, flexible work arrangements, and the chance to learn new skill sets in a positive work environment. A typical day involves reviewing project tasks and priorities, attending team meetings, coding, training models, analyzing data, preparing presentations for stakeholders, and planning for the next day's