Hybrid Financial Risk Analytics Associate

Our Clients; Makati; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

Our Clients is seeking a Financial Analytics and Risk Associate in Makati City, Philippines, to support financial risk advisory, quantitative analysis, and data-driven risk assessments for banks and financial institutions. The role emphasizes analyzing financial and risk data, risk measurement, and reporting to inform client decisions.

The candidate will collaborate with engagement teams and data specialists to translate data into actionable risk management insights, while handling multiple

Qualifications

• Bachelor’s degree in Statistics, Finance, Mathematics, Accountancy, Economics, Data Analytics, or related field.
• At least two years of relevant professional experience in financial analytics, risk analytics, quantitative analysis, banking, or risk advisory.
• Working knowledge of financial risk management principles and financial services operations.
• Understanding of quantitative analysis, statistical concepts, and financial risk measurement.

Responsibilities

• Assist in analyzing financial, operational, and risk-related data to support advisory and risk management engagements.
• Perform quantitative analysis to identify trends, risk exposures, anomalies, and potential areas of concern.
• Prepare financial analyses, risk summaries, dashboards, and other analytical outputs to support client decision‑making.
• Support model validation and data quality improvements.

Skills

Statistics

Finance

Mathematics

Data Analytics

Education

Bachelor’s degree in Statistics

Bachelor’s degree in Finance

Tools

Power BI

Power Query

Alteryx

Power Automate

R

Microsoft Excel

Job description

Our Clients is seeking a Financial Analytics and Risk Associate in Makati City, Philippines, to support financial risk advisory, quantitative analysis, and data-driven risk assessments for banks and financial institutions. The role emphasizes analyzing financial and risk data, risk measurement, and reporting to inform client decisions.

The candidate will collaborate with engagement teams and data specialists to translate data into actionable risk management insights, while handling multiple