Credit Risk Analytics & Pre-Sales Consultant

Crifasia; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

A leading analytics and consulting firm in the Philippines is seeking a professional who will bridge the gap between sales and the technical team. The role involves understanding customer needs, proposing appropriate solutions, and managing project delivery. The ideal candidate will hold a degree in a relevant field, have at least 6 years of experience in credit risk management, and possess strong analytical and communication skills. Proficiency in tools like Excel and PowerPoint is essential, along with knowledge in predictive analytics.

Qualifications

• Minimum 6 years’ experience with a prominent bank or consulting firm of developing predictive models in credit risk management.
• Experience in pre-sales or project delivery management of scoring and regulatory solutions in the credit risk domain.

Responsibilities

• Analyzing customer requirements from RFP/discussions.
• Creating envisioned analytics/consulting solutions to address client needs.
• Building and maintaining strong client relationships.

Skills

Strong analytics and problem-solving skills

Strong written and verbal English communication skills

Good understanding of lending business practices

Experience in predictive analytics techniques

Proficiency in Excel

Proficiency in PowerPoint

Education

Bachelor’s degree in Statistics/Mathematics/Data Science/Economics/Banking

Master or MBA

Tools

Python

R

Job description

A leading analytics and consulting firm in the Philippines is seeking a professional who will bridge the gap between sales and the technical team. The role involves understanding customer needs, proposing appropriate solutions, and managing project delivery. The ideal candidate will hold a degree in a relevant field, have at least 6 years of experience in credit risk management, and possess strong analytical and communication skills. Proficiency in tools like Excel and PowerPoint is essential, along with knowledge in predictive analytics.