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FICO
FICO
1,001 – 5,000 Employees
ConsultingHealthcareInsurance
FICO is an analytics and software company known for the FICO® Score, which lenders use to evaluate credit risk. Its broader technology platform combines data, artificial intelligence, and machine learning to support decision-making and customer engagement. FICO develops solutions for areas including fraud detection, credit scoring, and customer lifecycle management, serving organizations across sectors such as finance, telecommunications, consulting, insurance, and healthcare. Its products are designed to help businesses analyze conditions in real time, adapt decision processes, and manage complex scenarios.
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Remote Analytic Consultant I – FICO Scores

Develop predictive and decision models for FICO’s financial services clients worldwide. Analyze large credit datasets and deliver scoring solutions using statistical methods and machine learning.

USUnited States
$88,000 – $121,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredConsultant
AWSAzureC++Google Cloud PlatformJavaPython

Description

  • Help design, build, and deploy data-driven predictive models.
  • Support international FICO Scores projects with client data analysis, model development and validation, and delivery.
  • Develop and assess exploratory analyses, predictive models, and decision models for financial services challenges.
  • Analyze large consumer credit and credit bureau datasets.
  • Evaluate modeling suitability, find data patterns, create variables, and support scoring solutions.
  • Use statistical modeling, machine learning, pattern recognition, and performance inference methods.
  • Investigate and address data, modeling, and analytical problems.
  • Prepare, review, and present formal reports of analytical work.
  • Explain model results, insights, and recommendations to clients and other stakeholders.
  • Coordinate analytical work across concurrent projects and deliver on schedule.
  • Work with project teams and client stakeholders across international time zones.
  • Travel occasionally for client meetings or project work, domestically or internationally.

Requirements

  • Bachelor’s degree in a quantitative or technical discipline, such as applied mathematics, economics, statistics, operations research, computer science, engineering, physics, cognitive science, or a related natural science.
  • Experience in financial services, fintech, insurance, consumer lending, or credit bureaus is preferred.
  • Familiarity with consumer credit or fraud risk, credit bureau data, or lending decisions is preferred.
  • Strong programming and data analysis skills in Python, R, C++, Java, MATLAB, or a similar language.
  • Ability to prepare, transform, analyze, and model large datasets.
  • Ability to examine complex data, find data, processing, or analytical problems, identify root causes, and propose practical solutions.
  • Curious, analytical, and able to take initiative.
  • Clear and effective communicator.
  • Able to collaborate and work independently in cross-functional, client-facing settings.
  • Willing to contribute to global projects, including occasional meetings outside standard business hours.
  • Exposure to AWS, Azure, Google Cloud Platform, or similar services is a plus.

Benefits

  • An inclusive culture grounded in the company’s core values.
  • Professional growth and meaningful learning opportunities.
  • Competitive pay, benefits, and rewards programs.
  • Support for work-life balance.
  • Employee resource groups.
  • Social events.
  • Equal opportunities for employment and career advancement.

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