Analytic Consultant

📋 Description

• Participate in international FICO Scores initiatives by engaging in client data analysis, model development, validation, and delivery tasks.

• Create, implement, and assess cutting-edge, data-driven exploratory analyses, predictive models, and decision frameworks to address business challenges within the financial services sector.

• Examine extensive consumer credit and credit bureau datasets to evaluate modeling viability, uncover data trends, develop variables, and support scoring solutions.

• Utilize statistical modeling, machine learning, pattern recognition, and performance inference methods to determine effective modeling strategies and enhance model performance.

• Proactively identify, investigate, and resolve data, modeling, and analytical challenges by diagnosing root causes and proposing actionable solutions.

• Develop, review, and present formal presentations of analytical findings, effectively conveying modeling outcomes, key insights, and recommendations to both internal teams and clients.

• Oversee assigned analytical projects across multiple initiatives, adapting to shifting priorities while consistently delivering high-quality work within client and internal deadlines.

• Communicate efficiently with project teams and client stakeholders, including providing progress updates, raising questions or risks promptly, and participating in meetings across international time zones.

• Occasional travel may be necessary for client meetings or project requirements, which could include both domestic and 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 field.

• Relevant experience in financial services, fintech, insurance, consumer lending, or credit bureau settings; familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decision-making is preferred.

• Proficient programming and data analysis abilities using languages or tools such as Python, R, C++, Java, MATLAB, or similar, with the capability to prepare, manipulate, analyze, and model large datasets.

• Capacity to analyze intricate datasets, identify data, processing, or analytical challenges, determine root causes, and suggest practical solutions that ensure reliable modeling results.

• Self-motivated individual with a curious and analytical approach, capable of taking initiative, asking insightful questions, learning quickly, and delivering high-quality outcomes.

• Open and effective communicator, comfortable sharing progress, raising questions or risks early, and engaging effectively with stakeholders at various levels.

• Ability to work collaboratively and independently in cross-functional and client-facing settings.

• Willingness to engage in global projects, including occasional meetings outside standard business hours to accommodate international client time zones.

• Experience with cloud-based analytics platforms such as AWS, Azure, GCP, or similar is advantageous.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development opportunities