Quantitative Analyst Consultant, Model Risk Management (Remote)

This position provides risk analytics and expert support at the highest level of operational complexity to business units. Creates methods to evaluate potential losses and develops high-impact solutions to minimize or eliminate risk. Recommends and monitors enhancements to current processes and procedures, performing analysis and reporting in support of strategic objectives. Serves as a resource and may provide a leadership role for the work group through knowledge in the area of specialization.

• Identifying Risk - Leads the design and implementation of process evaluation methods, and the development of expert solutions to address identified risks. Works closely with management to ensure risk strategies are effective and compliant. May involve creation, evaluation, and execution of models or simulation scenarios to test risk conditions.
• Data Analysis - Sources, compiles, and interprets data. Performs complex analysis for risk trends and data discrepancies, and may direct the analytics efforts of the work group.
• Reporting - Produces reports based on data analysis, company trends, and risk factors. Conveys patterns, problems, and areas of improvement. Enables insight into potential losses and mitigation of identified risks through reporting activities.
• Operational Support - Supports business processes through a variety of escalated operational tasks. Develops, implements, and ensures continuous improvement test environments. Collaborates with management and other associate to improve team efficiency, transparency, and responsible use of models. Handles complex technical matters and participates in special projects.

Bachelor's Degree and 6 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 10 years of experience in financial, statistical, or quantitative analysis experience

Preferred Qualifications:

• Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Statistics, Data Science, Financial Engineering, Mathematics, Economics, or a related quantitative discipline).
• 2+ years of relevant experience in model development, model validation, or model implementation in a regulated industry, is preferred.
• Understanding of Large Language Models and their API use
• Proficiency in both traditional statistical methods and machine learning techniques; Advanced programming skills (e.g., Python, R, SAS, SQL).
• Strong understanding of regulatory requirements, particularly those related to stress testing and capital planning.
• Excellent problem-solving skills, attention to detail.
• Excellent written and verbal communication skills.
• Understanding of regulatory guidance and expectations in Large Financial Institutions

This job posting is expected to remain active for 45 days from the initial posting date listed above. If it is necessary to extend this deadline, the posting will remain active as appropriate. Job postings may come down early due to business need or a high volume of applicants.

The base pay for this position is generally between $150,000.00 and $205,000.00. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.