Sr. Quantitative Analyst (Machine Learning)

Location: Bellevue, Pennsylvania, United States; onsite

Company

hirify.global is a financial institution supporting loan and deposit products through quantitative modeling and portfolio strategy.

What you will do

• Design, develop, implement, maintain, and execute financial models for loss forecasting, scenario and stress testing, originations and collections, pricing, and portfolio optimization.
• Develop quantitative tools for pricing, profitability, product strategy, and new financial products.
• Use Python or R for data consumption, aggregation, analysis, and model development.
• Use Power BI to create portfolio analytics and communicate findings to business-line and operations partners.
• Evaluate model outputs and present results to stakeholders and senior management.
• Work with model owners, independent reviewers, auditors, validators, and regulators to support model governance.

Requirements

• Bachelor’s or master’s degree in physics, mathematics, statistics, economics, or another quantitative discipline.
• 6–8 years of experience in a financial institution or consulting organization.
• Programming experience in Python or R.
• Programming experience in SQL, SAS, Java, C+, C++, or Julia.
• Ability to establish effective working relationships, solve problems, make decisions, and communicate clearly with different audiences.
• Ability to work with onsite equipment and comply with company policies and applicable federal and state regulations.

Nice to have

• Experience in operational risk, market risk, machine learning, artificial intelligence, stress testing, or third-party vendor models.
• CFA charterholder certification or pursuit thereof.
• Financial Risk Manager certification from GARP or pursuit thereof.

Culture & Benefits

• Full-time employment within a team environment.
• Inclusive workplace committed to equal employment opportunity.
• Work includes compliance with safety and loss-prevention procedures.