Conduct theoretical and empirical research with public and proprietary data in mortgage finance business
Experience utilizing technology tools and open-source programming languages (Python, R, SAS, etc.) to support business or risk management processes
Utilize data mining and/or statistical techniques to develop analytic insights
Identify opportunities to apply quantitative methods to improve business performance
Implement validation or testing strategies and assess quality and risk of model methodologies
Communicate technical subject matter clearly and concisely to department leadership and teams
Collaborate with people of different functional expertise respectfully and cooperatively

Requirements

2 years in model development or validation in the financial industry
Ability to program using R and Python
Excellent written and oral communication skills in delivering complex technical information to audience with various backgrounds
Clear understanding of business operations and insights related to risk modeling
Bachelor's degree or equivalent
Experience in SAS or SQL
Knowledge of risk management governance (lines of defense)

Benefits

Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRSASSQLdata miningstatistical techniquesmodel developmentmodel validationquantitative methodsrisk modeling

Soft Skills

communication skillscollaborationrespectful interactioncooperative teamworktechnical subject matter communication

Certifications

Bachelor's degree