A prominent financial services company in the Philippines is seeking a Risk Data Modeling Lead to develop and implement advanced risk data models. This role involves analyzing large datasets to identify trends and ensuring compliance with regulatory standards. The ideal candidate has a strong background in data science, expertise in risk modeling, and the ability to lead a team of analysts. A competitive salary and comprehensive benefits package are offered in this permanent position with career advancement opportunities.
Qualifications
Proven expertise in risk modeling and data analysis within the financial services industry.
Comprehensive knowledge of risk management frameworks and regulatory compliance.
Ability to lead and inspire a team to achieve organizational goals.
Responsibilities
Develop and implement advanced risk data models to support decision-making processes.
Analyze large datasets to identify trends, anomalies, and potential risks.
Collaborate with cross-functional teams to align risk strategies with business objectives.
Ensure compliance with regulatory requirements in all risk modeling activities.
Provide insights to improve risk management frameworks.
Monitor and refine existing risk models for accuracy.
Document methodologies and create detailed reports.
Lead and mentor a team of analysts.
Skills
Data analysis
Risk modeling
Leadership
Problem-solving
Attention to detail
Education
Degree in data science, statistics, mathematics, or related field
Tools
Python
R
SQL
Job description
A prominent financial services company in the Philippines is seeking a Risk Data Modeling Lead to develop and implement advanced risk data models. This role involves analyzing large datasets to identify trends and ensuring compliance with regulatory standards. The ideal candidate has a strong background in data science, expertise in risk modeling, and the ability to lead a team of analysts. A competitive salary and comprehensive benefits package are offered in this permanent position with career advancement opportunities.