Risk Portfolio Analytics Manager - Hybrid, Dayshift - Taguig

Taguig, National Capital Region
Posted 22 days ago
Logo TASQ Staffing Solutions
Company:
TASQ Staffing Solutions
Company Description:
Founded by experts with more than 70 years of collective experience in the staffing solutions industry, TASQ understands the unique challenges in the talent acquisition space and is committed to being the trusted partner of companies in their pursuit of hiring the best people to fill their manpower needs. Composed of highly skilled team members who have worked with organizations ranging from small-to-medium entities to large-scale enterprises (including Fortune 500 companies), TASQ is fully capable of meeting staffing demands at all levels and across different industries.
Contract Type:
Full Time
Experience Required:
5 to 10 years
Education Level:
Bachelor’s Degree
Number of vacancies:
1

Job Description

About the job Risk Portfolio Analytics Manager (Hybrid)
Shift: 9/10AM - 6/7PM Monday to Friday
Work Set-up: Hybrid (3 days WFO, 2 days WFH)

Requirements:

5+ years of experience working in credit risk management in financial services environment for the relevant products

Strong quantitative and analytical skills, with proficiency in statistical analysis and risk modeling

Creative problem solver with flexibility to accommodate business needs

Ability to contribute consistently and positively in a fast-paced environment

Effectively conveying information and insights to diverse audiences

Evident portfolio experience

Responsibilities:

Develop and implement portfolio risk monitoring frameworks, KPIs, and reporting standards

Monitor the credit risk metric on the loan portfolio, identifying potential risks and recommending mitigation strategies

Conduct data-driven analysis to generate actionable insights, making recommendations for improving portfolio performance

Oversee the implementation of credit risk models and methodologies, ensure the models have robust performance and aligned with company's standard

Work closely with related teams such as Collections, Product, and Data Science to drive cohesive risk strategies and initiatives

Ensure the collection, analysis, and interpretation of comprehensive risk data to support informed decision-making