Analytic Consultant

Job Description

Join our team and contribute to international FICO Scores projects by analyzing client data, developing models, validating models, and delivering key insights. Design, develop, and assess cutting-edge, data-driven exploratory analyses, predictive models, and decision models to tackle complex business challenges within the financial services industry. Dive into large-scale consumer credit and credit bureau datasets to evaluate modeling suitability, identify data patterns, develop essential variables, and support robust scoring solutions. Implement statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and boost overall model performance. Proactively address and resolve data, modeling, and analytical issues by identifying root causes and recommending practical, effective solutions. Create and deliver engaging presentations of analytical work, clearly conveying modeling results, essential insights, and strategic recommendations to internal stakeholders and valued clients. Manage assigned analytical work streams across simultaneous projects, adapting swiftly to changing priorities while consistently delivering high-quality work that meets both client and internal deadlines. Foster effective communication within project teams and with client stakeholders, ensuring transparent sharing of progress, timely raising of questions or risks, and active participation in meetings across diverse international time zones. Be prepared for occasional travel to facilitate client meetings or address critical project needs, including both domestic and international engagements.

Qualifications

1. 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. 2. 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. 3. 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. 4. Ability to analyze complex datasets, identify data, processing, or analytical issues, pinpoint root causes, and recommend practical solutions that support reliable modeling outcomes. 5. Self-starter with a curious and analytical mindset, able to take initiative, ask thoughtful questions, learn quickly, and follow through on high-quality deliverables. 6. Open and effective communicator, comfortable sharing progress, raising questions or risks early, and communicating effectively with stakeholders at different levels. 7. Ability to work both collaboratively and independently in cross-functional and client-facing environments. 8. Willingness to work on global projects, including occasional meetings outside normal business hours to accommodate international client time zones. 9. 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