Quantitative Analytics & Model Analyst Senior - Credit Loss Forecasting (CLF)

Location: In-office in Pittsburgh, PA; Cleveland, OH; Tysons Corner, VA; Washington, DC; East Brunswick, NJ; or Charlotte, NC, United States.

Base salary: $86,250.00–$172,500.00 per year, plus incentive eligibility.

Company

hirify.global is a financial services organization focused on customer service, risk management, and regulated banking operations.

What you will do

• Design, develop, implement, enhance, and support quantitative analytics, model-support, and AI-enabled automation solutions for CECL, CCAR, model monitoring, and other regulatory or business-critical initiatives.
• Build and review modular, testable, production-ready Python and PySpark code, data pipelines, controls, and workflow automation.
• Support model onboarding, implementation, monitoring, remediation, and controlled production deployment, including unit, integration, regression, reconciliation, and performance testing.
• Analyze large and complex datasets, investigate model and data discrepancies, and resolve issues involving execution, data quality, orchestration, configuration, and analytical outputs.
• Evaluate and apply generative AI and LLM-based capabilities with appropriate testing, security, explainability, governance, and human oversight.
• Support model governance, validation, audit and regulatory responses, issue remediation, technical documentation, design reviews, code reviews, and communication with technical and non-technical stakeholders.

Requirements

• Bachelor’s or master’s degree in quantitative finance, statistics, mathematics, computer science, data science, engineering, operations research, or a related quantitative field; an advanced degree is preferred.
• Relevant experience in quantitative analytics, model implementation, model monitoring, or AI/ML solutions in enterprise environments, including onboarding, testing, output validation, production deployment, and issue remediation. Roles at this level typically require a degree and 3+ years of relevant or direct industry experience.
• Strong hands-on Python experience building modular, testable, production-ready solutions, including automated workflows, data pipelines, controls, and reconciliation processes using large, complex datasets.
• Knowledge of statistical modeling, machine learning, and quantitative methods.
• Ability to diagnose and resolve issues involving code, data, workflows, and analytical outputs while applying standards for testing, documentation, version control, and change management.
• Understanding of model risk, data privacy, information security, responsible AI, and governance requirements.
• Strong communication and collaboration skills, including the ability to manage multiple priorities and explain technical concepts to technical and non-technical audiences.
• No required certifications or licenses.

Nice to have

• Experience with PySpark, SQL, Git or Bitbucket, APIs, Parquet and CSV data, Slurm or comparable distributed job scheduling, enterprise model-execution platforms, and workflow orchestration.
• Experience with financial-services quantitative models, particularly credit risk, CECL, CCAR, stress testing, or model governance, plus knowledge of banking products and regulatory expectations.
• Experience applying AI/ML or generative AI/LLM solutions to analytical or model workflows, including agentic workflows, retrieval-augmented generation, vector databases, evaluation, and guardrails.
• Experience participating in design and code reviews and mentoring junior team members.

Culture & Benefits

• In-office work is required; workplace expectations should be discussed with the recruiter and hiring manager.
• Full-time employees may be eligible for medical, dental, vision, life insurance, disability protection, HSA, 401(k) matching, pension, stock purchase, dependent-care, adoption, surrogacy, doula, and educational assistance benefits.
• Eligible employees may receive parental leave, up to 11 paid holidays, 9 occasional absence days, and 15–25 vacation days depending on career level and service.
• The role is incentive eligible based on company, business, and/or individual performance.
• hirify.global does not provide employment visa sponsorship or participate in STEM OPT for this position.

Hiring process

• The position was generally expected to remain posted for two business days from November 6, 2026, subject to business discretion.
• For application accommodations, contact hirify.global with “accommodation request” in the subject line and include the applicant’s name, job ID, and preferred contact method.