Analytic Consultant

FICO

. Participate in designing, developing, and deploying data-driven predictive models .

Posted 10/8/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying data-driven predictive models, with strong capabilities in statistical modeling, machine learning, and data analysis within financial services. Proficient in communicating insights and managing analytical projects across international teams.

Highest-signal resume keywords

Statistical ModelingMachine LearningData Analysis Using PythonConsumer Credit Risk AnalysisCloud-Based Analytics Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData ManipulationModel ValidationExploratory AnalysisDecision ModelsPattern RecognitionPerformance InferenceLarge Dataset AnalysisProgramming in RProgramming in C++

Soft Skills

Effective CommunicationCurious MindsetCollaborative WorkIndependent WorkProblem Solving

Tools & Technologies

AWSAzureGCPMATLABJava

Industry Keywords

Financial ServicesFintechConsumer LendingCredit BureauFraud Risk

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPythonC++

About the role

Key responsibilities & impact

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
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, key 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

Requirements

What you’ll need

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 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 cloud-based analytics platforms such as AWS, Azure, GCP, or similar is a plus
Occasional domestic or international travel may be required

Benefits

Comp & perks

Highly competitive compensation, benefits and rewards programs
Work/life balance
Employee resource groups
Social events
Learning experiences and professional development opportunities
Inclusive, people-first work environment