Analytic Consultant

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

As part of a team, you will participate in designing, developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in data mining, statistical modeling, pattern recognition, and performance inference. This is a unique opportunity to contribute to FICO Scores International, where you will learn and apply flagship FICO® Score expertise to global markets, collaborate with clients across regions, explore diverse data sources, work with large-scale datasets, and build models that drive real-world impact.

What You Will Do

• 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.

What We Are Seeking

• 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.
• Exposure to cloud-based analytics platforms such as AWS, Azure, GCP, or similar is a plus.

Our Offer to You

• 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.

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