Lead Quantitative Analytics Associate II – Business Banking, Consumer Analytics

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

📋 Description

• Create and validate predictive and machine-learning models tailored to specific business requirements.

• Employ traditional statistical techniques and machine learning to design, oversee, maintain, and implement models for various business purposes.

• Evaluate and challenge data preparation methodologies while collaborating with data stewards to ensure data integrity.

• Recognize and articulate insights derived from structured evaluations of analytical results.

• Review project outputs and actively mentor others on methodologies and deliverables.

⛳️ Requirements

• Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative fields.

• Minimum of 2 years of pertinent experience (1 year with a Master’s or PhD).

• Familiarity with data structures and transformations.

• Capability to identify and gather various types of information to meet business needs or facilitate analysis.

• Proficient in the Advanced Microsoft Office Suite.

• Experience with traditional statistical methods and machine learning techniques.

• Intermediate skills in Python/SQL, including the ability to write and read functions.

• Understanding of cloud-based and distributed computing environments.

• Knowledge of advanced modeling methods, including machine learning techniques (e.g., XGBoost, LightGBM, Random Forest).

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options