Risk Analytics Specialist

Leading Edge; Islamabad; On-site; PKR 1,400,000 - 2,000,000; Full time

Job summary

A financial services firm in Islamabad seeks a Risk Analytics Specialist to analyze financial risks and develop risk models. The ideal candidate will have 2-3 years of experience, a relevant bachelor's degree, and proficiency in statistical tools like R and Python. This role offers opportunities to work with cross-functional teams and present insights to stakeholders.

Qualifications

• Bachelor's degree in relevant field; Master's degree preferred.
• 2-3 years of experience in risk analytics or related field.
• Proficient in risk modeling and data analysis.

Responsibilities

• Analyze financial data to identify risks and opportunities.
• Develop and maintain risk models for potential losses.
• Prepare reports on risk analysis and recommendations.

Skills

Risk modeling

Data analysis

Statistical software

Education

Bachelor's degree in Mathematics, Statistics, Economics, or related field

Master’s degree preferred

Tools

R

Python

SAS

Job description

We are seeking a highly skilled Risk Analytics Specialist to join our team in Pakistan. The successful candidate will be responsible for analyzing and managing financial risks, developing risk models, and providing insights to support business decisions.

Responsibilities

• Analyze financial data to identify potential risks and opportunities.
• Develop and maintain risk models to predict potential losses and opportunities.
• Collect, analyze, and interpret large data sets to identify trends and patterns.
• Prepare and present reports to stakeholders on risk analysis and recommendations.
• Work with cross-functional teams to implement risk management strategies.
• Ensure compliance with regulatory requirements and industry standards.
• Continuously monitor and review risk exposures to ensure effective risk management.

Requirements

• Bachelor's degree in Mathematics, Statistics, Economics, or related field. Master’s degree preferred.
• Minimum 2-3 years of experience in risk analytics or related field.
• Proficient in risk modeling, data analysis, and statistical software (e.g., R, Python, SAS). Strong understanding of financial markets and instruments.
• FRM, PRM, or CFA certification preferred.