Analytic Consultant
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Job Description
Analytic Consultant developing data-driven predictive models and analyses in the financial services sector. Collaborating on international projects utilizing advanced technologies for impactful business solutions.
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.
Requirements:
- 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.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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