Model Risk – Quantitative Analytics Manager

This is a fully remote position, open to applicants in Ohio.

📋 Description

• Oversee the validation of predictive and machine-learning models tailored to specific business requirements utilizing statistics, advanced mathematical methods, and/or computer science.

• Develop and utilize models, inferential statistics, and prescriptive analysis to proactively address business challenges by answering critical questions such as “What will occur and what actions should we take?”

• Propose solutions grounded in a comprehensive understanding of the context, interconnections, and derived conclusions.

• Evaluate deliverables and actively mentor others on methodologies and outcomes.

• Champion and promote best practices in data capture and retention.

• Implement ongoing enhancements to data processes, focusing on data efficiency.

⛳️ Requirements

• A Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or related quantitative fields, alongside a minimum of 5 years of pertinent experience;

• A Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or related quantitative fields, along with at least 6 years of relevant experience.

• Proficiency in the Microsoft Office Suite.

• Familiarity with SQL/NoSQL.

• Advanced skills in Python/R/SAS: Databases.

• Knowledge of best practices for data capture and retention.

• Proven ability to engage and collaborate with mid to senior leadership levels.

🏝️ Benefits

• Incentive compensation that may encompass production, commission, and/or discretionary bonuses.