Quantitative Analytics & Model Analyst Senior (Credit Loss Forecasting)

Location: In-office in Pittsburgh, PA; Cleveland or Columbus, OH; Tysons Corner, VA; Charlotte, NC; or Washington, DC

Base salary: $86,250–$172,500 per year, plus incentive eligibility.

Company

hirify.global is a financial services company focused on banking, credit risk, quantitative analytics, and regulated financial operations.

What you will do

• Develop, maintain, and enhance analytical processes, controls, and infrastructure for CECL, CCAR, model monitoring, and regulatory initiatives.
• Implement, test, monitor, and deploy quantitative models in collaboration with modeling, validation, technology, and business teams.
• Build Python-based automation for data processing, analytics workflows, controls, and reporting.
• Optimize data pipelines and distributed-computing solutions for large and complex datasets.
• Troubleshoot model execution, data quality, workflow orchestration, and analytical output issues.
• Prepare model documentation, validation materials, regulatory responses, and recommendations for technical and non-technical stakeholders.

Requirements

• Bachelor’s or master’s degree in quantitative finance, statistics, mathematics, computer science, data science, engineering, or a related quantitative field.
• 3+ years of relevant or direct industry experience.
• Strong Python programming, software development, data manipulation, and analytical workflow automation experience.
• Experience working with large-scale datasets and diagnosing complex analytical or technical issues.
• Strong communication and collaboration skills.
• Employment is in-office at one of the listed United States locations; hirify.global does not provide employment visa sponsorship or participate in STEM OPT for this position.

Nice to have

• Experience with PySpark, Git or Bitbucket, cloud platforms, and distributed computing environments.
• Experience supporting quantitative models in financial services, including CECL, CCAR, stress testing, model monitoring, or model governance.
• Knowledge of machine learning, AI, predictive modeling, credit risk, banking products, and regulatory frameworks.
• Experience working in highly regulated environments.

Culture & Benefits

• In-office workplace with a supportive and inclusive culture.
• Medical, prescription, dental, and vision coverage, including a health savings account option.
• 401(k) matching, pension, stock purchase plans, life insurance, and disability protection.
• Paid holidays, occasional absence days, vacation, parental leave, and other paid time off.
• Educational assistance, wellness programs, and dependent care support.