Quantitative Data Analytics Specialist (KPO/Risk)

Job Description

As a Quantitative Data Analytics Specialist (KPO/Risk), you will analyze large financial datasets to support risk management, regulatory reporting, and strategic decision-making. You will develop analytical models, generate business insights, and improve risk assessment processes using advanced statistical techniques. Working alongside quantitative analysts, data scientists, and risk professionals, you will help strengthen the organization’s financial risk framework. The role requires expertise in analytics, data visualization, programming, and financial domain knowledge.

Key Responsibilities
Analyze financial and risk datasets to identify trends and anomalies.
Develop quantitative models for credit, market, and operational risk analysis.
Create dashboards and reports for business stakeholders and management.
Validate data quality and ensure analytical accuracy.
Utilize SQL, Python, R, or SAS for advanced data analysis.
Support regulatory reporting and compliance initiatives.
Collaborate with risk, finance, and business teams on analytical projects.
Recommend data-driven solutions to improve risk management and operational efficiency.