Remote AI/ML Risk Model Testing Lead

Code1 Tech Systems; Hinoba-an; Hybrid; PHP 1,800,000 - 3,200,000; Full time

Job summary

Code1 Tech is seeking an experienced Risk Models Testing Lead to drive testing, validation, and QA of AI/ML models used across the banking ecosystem. The ideal candidate combines deep banking domain expertise with hands-on experience testing AI/ML models used for credit risk, fraud detection, AML, collections, customer segmentation, pricing, and regulatory reporting.

The role requires close collaboration with Data Scientists, Model Risk Management, Product Owners, Technology, Business, and

Qualifications

• Banking domain experience in risk, Basel II/III, IFRS 9, regulatory reporting.
• Experience testing/validating AI/ML models in banking contexts.
• Strong understanding of model governance and regulatory expectations.

Responsibilities

• Design and execute comprehensive testing strategies for AI/ML models.
• Validate model performance across training, validation, and production datasets.
• Perform functional, non-functional, regression, and end-to-end testing of AI-driven banking solutions.
• Assess model outputs against business expectations and regulatory requirements.
• Lead testing and validation for PD, EAD, ECL, and related risk modules.
• Coordinate with Data Science, Model Risk, Business, Technology, and Compliance teams.

Skills

Banking domain knowledge

AI/ML lifecycle

Explainable AI (XAI)

Prompt engineering

GenAI testing

LLM evaluation

RAG validation

Bias & fairness testing

Stakeholder management

Leadership

Education

Bachelor’s degree in CS/Engineering/Math/Finance

Master’s degree (advantage)

Certifications in AI/ML or Risk Management

ISTQB (preferred)

Tools

SQL

Python

Jupyter Notebook

Git

REST APIs

Snowflake

Databricks

MLflow

Job description

Code1 Tech is seeking an experienced Risk Models Testing Lead to drive testing, validation, and QA of AI/ML models used across the banking ecosystem. The ideal candidate combines deep banking domain expertise with hands-on experience testing AI/ML models used for credit risk, fraud detection, AML, collections, customer segmentation, pricing, and regulatory reporting.

The role requires close collaboration with Data Scientists, Model Risk Management, Product Owners, Technology, Business, and