Risk Data Science Manager
Cobden & Carter International · Taguig, Metro Manila, Philippines ·
- Work mode
- Hybrid
- Category
- Data science
A modern digital bank is seeking a Risk Data Science Manager to develop and oversee risk models and machine learning algorithms that will drive strategic business initiatives.
Responsibilities:
- Build databases, conduct exploratory data analysis, design sampling methods, and select variables and models to create optimal risk models or machine learning algorithms.
- Monitor and report on risk model performance.
- Identify and report on emerging and changing risk factors.
- Document all studies and findings related to risk models, including performance validation and risk factor oversight.
- Engage in discussions about the development, monitoring, and validation of risk models.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Actuarial Science, Economics, or a related field (MBA is a plus!)
- 5+ years of experience in risk modelling within the banking or financial services sector preferred
- Proficient in R, Python, SAS, or SPSS
- Strong skills in documentation and technical writing
Work Setup: Hybrid (3 days on-site)
Schedule: Day shift
Location: BGC, Taguig City
By applying, you give consent to collect, store, and/or process personal and/or sensitive information for recruitment and employment may it be internal to Cobden & Carter International and/or to its clients.