Senior Credit Risk Data Scientist – Client-Facing & Regional

Michael Page; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Michael Page has a fast-growing technology-driven client looking for a Credit Risk Analytics expert. You will be responsible for lending solutions, risk modeling, and client-facing engagements with senior stakeholders across the region.

The role combines technical analytics with commercial impact, including pre-sales support, solution demonstrations, and risk-based recommendations to financial institutions and fintechs.

Qualifications

• Strong experience in Credit Risk Analytics and Data Science.
• Experience building or validating credit risk models.
• Excellent communication and presentation skills.
• Experience in pre-sales or solution consulting preferred.

Responsibilities

• Serve as a subject matter expert in credit risk analytics and lending solutions.
• Work closely with sales teams to support pre-sales activities and client engagements.
• Participate in client meetings, solution presentations, and discovery sessions.
• Understand clients' risk management challenges and recommend appropriate solutions.
• Translate complex analytical concepts into business-friendly recommendations.
• Support product positioning and solution demonstrations for prospective clients.
• Analyze lending and portfolio performance data to generate insights.
• Collaborate with internal stakeholders across product, sales, and delivery teams.
• Provide guidance on credit risk methodologies, underwriting strategies, and portfolio optimization.

Skills

Credit risk analytics

Data science

Python

SQL

R

SAS

Client presentations

Financial services

Tools

Python

SQL

R

SAS

Job description

Michael Page has a fast-growing technology-driven client looking for a Credit Risk Analytics expert. You will be responsible for lending solutions, risk modeling, and client-facing engagements with senior stakeholders across the region.

The role combines technical analytics with commercial impact, including pre-sales support, solution demonstrations, and risk-based recommendations to financial institutions and fintechs.