Analytic Consultant I (Predictive Modeling)

Location: Work from Home, United States; occasional domestic or international travel may be required for client meetings or project needs.

Targeted base pay range: $88,000–$121,000 per year.

Company

hirify.global is a global analytics software company providing decision-making, credit scoring, fraud detection, and lending solutions to businesses worldwide.

What you will do

• Design, develop, evaluate, validate, and deliver exploratory, predictive, and decision models for international hirify.global Scores projects.
• Analyze large-scale consumer credit and credit bureau datasets to identify patterns, develop variables, and assess modeling suitability.
• Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to improve model performance.
• Investigate data, modeling, and analytical issues, identify root causes, and recommend practical solutions.
• Prepare and deliver presentations explaining analytical results, insights, and recommendations to internal stakeholders and clients.
• Manage analytical workstreams across simultaneous projects and collaborate with project teams and international clients.

Requirements

• Bachelor’s degree in a quantitative or technical field such as applied mathematics, economics, statistics, operations research, computer science, engineering, physics, or cognitive science; a master’s degree is preferred.
• Experience or familiarity with financial services, fintech, insurance, consumer lending, credit risk, fraud risk, credit bureau data, or lending decisioning.
• Strong programming and data analysis skills with Python, R, C++, Java, MATLAB, or similar tools.
• Ability to prepare, manipulate, analyze, and model large datasets and resolve complex data or analytical issues.
• Effective communication and collaboration skills for cross-functional and client-facing work.
• Willingness to work on global projects and attend occasional meetings outside normal business hours for international client time zones.

Nice to have

• Exposure to cloud-based analytics platforms such as AWS, Azure, or GCP.
• Master’s degree in a quantitative or technical field.

Culture & Benefits

• Inclusive, people-first work environment focused on ownership, customer satisfaction, and respect.
• Professional development and learning opportunities.
• Competitive compensation, benefits, and rewards programs.
• Work-life balance, employee resource groups, and social events.