Risk Data Science Manager

Cobden & Carter International; Philippines; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

A modern digital bank is seeking an experienced Risk Data Science Manager to develop and oversee risk models and machine learning algorithms. Responsibilities include building databases, conducting data analysis, and monitoring risk model performance. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, with 5+ years of experience in risk modelling, and proficiency in R, Python, SAS, or SPSS. The position offers a hybrid work setup, requiring three days on-site.

Qualifications

• 5+ years of experience in risk modelling within the banking or financial services sector preferred.
• Strong skills in documentation and technical writing.

Responsibilities

• Build databases, conduct exploratory data analysis, and design sampling methods.
• 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.

Skills

Risk modelling

Machine learning algorithms

Data analysis

Documentation

Technical writing

Education

Bachelor's degree in Computer Science

Relevant field or MBA

Tools

R

Python

SAS

SPSS

Job description

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

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