Senior Risk Model Ops & AI-Driven Analytics

MSCI Inc; Philippines; On-site; PHP 900,000 - 1,200,000; Full time

Job summary

MSCI Inc in Philippines seeks Senior Associate for Risk Model Analytics Operations to own daily production of multi-asset factor models and risk data, ensuring accuracy and timely delivery across monitoring, incidents, model distribution and client delivery.

You will drive QA enhancements, automate tasks with Python/SQL, push for AI-driven improvements, and collaborate with Research, Model Engineering, and Data teams worldwide.

Qualifications

• Bachelor's degree in a quantitative field or related discipline.
• 7+ years of experience in data operations, production support, or data-intensive roles.
• Experience transforming operations, automating workflows, and adopting AI—beyond routine maintenance.
• Strong Python and SQL skills for data analysis, investigation, and automation.
• Experience managing production incidents end-to-end, from triage to resolution.
• Understanding of data pipelines, model distribution workflows, and quality standards.
• Experience using AI tools to enhance operational and analytical work.
• Clear written and spoken English communication; able to work with global teams.

Responsibilities

• Own QA checks on model outputs and data pipelines, identify root causes, and ensure data quality.
• Drive QA enhancements, anomaly detection, and reduction of false positives.
• Build SQL scripts and Python notebooks to automate recurring QA tasks.
• Investigate data discrepancies with Model Engineering and Research.
• Oversee daily production for multi-asset class factor models and ensure timely issue resolution.

Skills

Python

SQL

Data analysis

Incident management

QA automation

AI tooling

English communication

Cross-functional collaboration

Education

Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or related field

Tools

Snowflake

Cloud data platforms

Job description

MSCI Inc in Philippines seeks Senior Associate for Risk Model Analytics Operations to own daily production of multi-asset factor models and risk data, ensuring accuracy and timely delivery across monitoring, incidents, model distribution and client delivery.

You will drive QA enhancements, automate tasks with Python/SQL, push for AI-driven improvements, and collaborate with Research, Model Engineering, and Data teams worldwide.