Overview
On Site
Full Time
Skills
Collaboration
Product Management
Credit Risk
Documentation
Auditing
Analytical Skill
Leadership
Decision-making
FOCUS
Test Cases
Testing
Conflict Resolution
Problem Solving
Pricing
Market Research
Management Consulting
Quantitative Analysis
Modeling
Python
SQL
Microsoft Excel
Finance
Economics
Mathematics
Statistics
Data Science
Critical Thinking
Fluency
Data Processing
Training
Banking
Statistical Models
Machine Learning (ML)
Analytics
Job Details
Overview
This is a hybrid role in Raleigh, NC with the expectation of working in the office. The main office location is the DAC.
We are seeking a highly skilled and motivated candidate to join our Modeling and Analytics team. This Quantitative Modeling Analyst is responsible for developing, maintaining, and enhancing quantitative models at the bank with current focus on credit risk models (CECL & CCAR).
The position also requires close collaboration with data, credit, product management and risk teams to enhance model effectiveness and business decision-making.
Responsibilities
Develop and maintain credit risk models that align with regulatory requirements and support internal business needs.
Prepare detailed model documentation, outlining model development, conceptual soundness, and outcomes, and submit it for validation and audit purposes.
Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impact.
Prepare reports for senior leadership by summarizing model performance, key findings, and actionable insights to support decision-making.
The first project will focus on the implementation of the CECL models on the production platform that requires:
Coding (Python): write model implementation code and test cases in the sandbox environment and working with the production platform team to implement the code in the production platform.
SQL: query the data for testing, and other analyses
Excel: perform supporting analyses and summarize modeling results.
Critical thinking and problem-solving: support the creation of an effective data schema and a robust & scalable production code.
Future projects could include other models like economic capital or loan pricing.
Finally, the position offers the opportunity to be part of a team of modeling experts with graduate degrees in mathematics, finance, economics, and data science; and experiences from top-tiers market research firms, academic institutions, and management consulting companies.
Qualifications
Bachelor's Degree and 2 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 6 years of experience in financial, statistical, or quantitative analysis experience
Preferred Area of Experience:
Previous experience in quantitative modeling: proficient in Python, SQL, and advanced Excel
Preferred Area of Study: (financial) mathematics, data science, economics, or statistics
Preferred Education Level: Master's degree in finance, economics, mathematics, statistics, or data science
It is highly preferred for the candidate to have relevant working experience, regardless of educational level. Otherwise, academic projects should demonstrate exceptional critical thinking, deep understanding of the subject, fluency in model development steps, and meaningful reflection on the outcome of the project. It has to go beyond the rudimentary process of pulling a public data set, using pre-built libraries for data processing & model training, and showing R-square/MSE.
Preferred Skills:
2+ years of progressive experience in quantitative model development in U.S. banks or consulting
Hands on experience in model development, including model development during academic studies
Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
#LI-Hybrid
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
This is a hybrid role in Raleigh, NC with the expectation of working in the office. The main office location is the DAC.
We are seeking a highly skilled and motivated candidate to join our Modeling and Analytics team. This Quantitative Modeling Analyst is responsible for developing, maintaining, and enhancing quantitative models at the bank with current focus on credit risk models (CECL & CCAR).
The position also requires close collaboration with data, credit, product management and risk teams to enhance model effectiveness and business decision-making.
Responsibilities
Develop and maintain credit risk models that align with regulatory requirements and support internal business needs.
Prepare detailed model documentation, outlining model development, conceptual soundness, and outcomes, and submit it for validation and audit purposes.
Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impact.
Prepare reports for senior leadership by summarizing model performance, key findings, and actionable insights to support decision-making.
The first project will focus on the implementation of the CECL models on the production platform that requires:
Coding (Python): write model implementation code and test cases in the sandbox environment and working with the production platform team to implement the code in the production platform.
SQL: query the data for testing, and other analyses
Excel: perform supporting analyses and summarize modeling results.
Critical thinking and problem-solving: support the creation of an effective data schema and a robust & scalable production code.
Future projects could include other models like economic capital or loan pricing.
Finally, the position offers the opportunity to be part of a team of modeling experts with graduate degrees in mathematics, finance, economics, and data science; and experiences from top-tiers market research firms, academic institutions, and management consulting companies.
Qualifications
Bachelor's Degree and 2 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 6 years of experience in financial, statistical, or quantitative analysis experience
Preferred Area of Experience:
Previous experience in quantitative modeling: proficient in Python, SQL, and advanced Excel
Preferred Area of Study: (financial) mathematics, data science, economics, or statistics
Preferred Education Level: Master's degree in finance, economics, mathematics, statistics, or data science
It is highly preferred for the candidate to have relevant working experience, regardless of educational level. Otherwise, academic projects should demonstrate exceptional critical thinking, deep understanding of the subject, fluency in model development steps, and meaningful reflection on the outcome of the project. It has to go beyond the rudimentary process of pulling a public data set, using pre-built libraries for data processing & model training, and showing R-square/MSE.
Preferred Skills:
2+ years of progressive experience in quantitative model development in U.S. banks or consulting
Hands on experience in model development, including model development during academic studies
Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
#LI-Hybrid
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.