Quantitative Analyst Consultant-Internal Audit

Overview

This is a hybrid role (if located in Charlotte or Raleigh, NC, Morristown, NJ) with the expectation that time working will regularly take place inside and outside of a company office. Three days a week in office. Open to remote in several markets for a highly qualified candidate.

The Quantitative Analyst Consultant position within the Bank's Internal Audit department will support activities related to providing an independent assurance opinion with respect to design, development and implementation of quantitative and qualitative models intended to solve complex financial problems.

Responsibilities

• Business process review and analysis - Responsibilities include: (1) analyzing model-related business processes to identify relevant risks and controls; (2) developing testing strategies.
• Model technical review - Responsibilities include: (1) conducting review and critical analysis of model related documentation, including model development and validation reports; (2) performing exploratory data analyses to test hypotheses; (3) replicating developmental evidence; (4) formulating supporting rationale to inform audit opinion.
• Client inquiries - Responsibilities include: (1) preparing questionnaires, conducting interviews, documenting and evaluating client responses.
• Report writing - Responsibilities include: (1) drafting detailed workpapers to document completed testing, (2) formulating audit findings; (3) documenting testing outcomes in the official system of records.
• Business Support - Engage, troubleshoot and escalate work deliverables for assigned systems, products, or business units.
• Process Improvement & Peer Leadership - Identifies potential improvements to current procedures, plans, and controls to achieve business objectives and regulatory requirements.

• Advanced Degree (Master's or PhD) and 3 years of experience in financial, statistical, or quantitative analysis
• Experience in model development, model validation or model audit, especially in the area of credit risk modeling and stress-testing.
• General understanding of financial markets, products, associated risks and risk management practices.
• Familiarity with basic concepts in economics, finance and accounting.
• Firm grasp of statistical data analysis, relevant academic coursework.
• Familiarity with regulatory requirements in the banking industry, including guidance on model risk management (SR 11-7), guidance on stress-testing (SR 12-7) and supervisory expectations with respect to capital planning.
• Familiarity with audit methodology, processes, terminology.
• High level of proficiency in MS Office software suite.
• Basic knowledge of or keen interest in developing proficiency in SQL and Python.