[Remote] Analytic Consultant

Note: The job is a remote job and is open to candidates in USA. FICO is a leading global analytics software company, helping businesses in 100+ countries make better decisions. The Analytic Consultant role involves designing, developing, and deploying data-driven predictive models to solve business problems, particularly in the financial services industry.

Responsibilities

• Contribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities
• Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision models to solve business problems across the financial services industry
• Analyze large-scale consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions
• Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance
• Anticipate, investigate, and resolve data, modeling, and analytical issues by identifying root causes and recommending practical solutions
• Create, review, and deliver formal presentations of analytical work, clearly communicating modeling results, key insights, and recommendations to internal stakeholders and clients
• Manage assigned analytical work streams across simultaneous projects, adjusting to changing priorities while consistently delivering high-quality work against client and internal deadlines
• Communicate effectively with project teams and client stakeholders, including sharing progress, raising questions or risks early, and participating in meetings across international time zones
• Travel may be required occasionally for client meetings or project needs, including domestic or international engagements

Skills

• Master's degree in Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science, or a related quantitative, technical, or natural science discipline
• Relevant experience in financial services, fintech, insurance, consumer lending, or credit bureau environments; familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decisioning preferred
• Strong programming and data analysis skills using languages or tools such as Python, R, C++, Java, MATLAB, or similar, with the ability to prepare, manipulate, analyze, and model large datasets
• Ability to analyze complex datasets, identify data, processing, or analytical issues, pinpoint root causes, and recommend practical solutions that support reliable modeling outcomes
• Self-starter with a curious and analytical mindset, able to take initiative, ask thoughtful questions, learn quickly, and follow through on high-quality deliverables
• Open and effective communicator, comfortable sharing progress, raising questions or risks early, and communicating effectively with stakeholders at different levels
• Ability to work both collaboratively and independently in cross-functional and client-facing environments
• Willingness to work on global projects, including occasional meetings outside normal business hours to accommodate international client time zones
• Familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decisioning
• Exposure to cloud-based analytics platforms such as AWS, Azure, GCP, or similar is a plus

Benefits

• An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
• The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
• An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

Company Overview

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