
1001 - 5000 employees
Founded 1956
💼 Consulting
🛡️ Insurance
🏥 Healthcare
Consulting • Insurance • Healthcare
FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.
🔥 36 minutes ago
🇺🇸 United States – Remote
💵 $88k - $121k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💼 Consultant
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1001 - 5000 employees
Founded 1956
💼 Consulting
🛡️ Insurance
🏥 Healthcare
Consulting • Insurance • Healthcare
FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.
• Participate in designing, developing, and deploying data-driven predictive models • Contribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities • Design, develop, and evaluate exploratory analyses, predictive models, and decision models for financial services business problems • Analyze large-scale consumer credit and credit bureau datasets • Assess modeling suitability, identify data patterns, develop variables, and support scoring solutions • Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques • Investigate and resolve data, modeling, and analytical issues • Create, review, and deliver formal presentations of analytical work • Communicate modeling results, insights, and recommendations to stakeholders and clients • Manage analytical work streams across simultaneous projects and meet deadlines • Communicate with project teams and client stakeholders across international time zones • Travel occasionally for client meetings or project needs, including domestic or international engagements
• Bachelor’s degree in a quantitative or technical field, such as Applied Mathematics, Economics, Statistics, Operations Research, Computer Science, Engineering, Physics, Cognitive Science, or a related natural science discipline • Relevant experience in financial services, fintech, insurance, consumer lending, or credit bureau environments preferred • Familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decisioning preferred • Strong programming and data analysis skills using Python, R, C++, Java, MATLAB, or similar • 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 • Self-starter with a curious and analytical mindset • Open and effective communicator • Ability to work collaboratively and independently in cross-functional and client-facing environments • Willingness to work on global projects, including occasional meetings outside normal business hours • Exposure to AWS, Azure, GCP, or similar is a plus
• Inclusive culture reflecting core values • Professional development and valuable learning experiences • Competitive compensation, benefits and rewards programs • Work/life balance • Employee resource groups • Social events • Equal employment and advancement opportunities
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