Quantitative Analyst I

1 day ago

Raleigh, North Carolina, United States First Citizens Bank Full time
Overview

This is a remote role that may be hired from AL, AR, CT, DE, IA, ID, IL, IN, KS, KY, LA, ME, MS, MT, NC, NE, NM, NV, OH, OK, OR, PA, RI, SC, SD, TX, UT, VA, WV.


We are seeking a skilled Quantitative Analyst I and model developer to join our Modeling and Analytics team at First Citizens. In this role, you will assist with the development, implementation, monitoring, and reporting of risk rating models specifically tailored for commercial loan portfolios.

Responsibilities


• Work with the Modeling & Analytics team on the development and enhancement of risk rating models for commercial loans, ensuring accuracy and compliance with regulatory standards.

• Assist with gathering and analyses of internal and external sources of financial and loan-level data to inform model development.

• Maintain comprehensive documentation of model development processes, ensuring transparency and compliance with regulatory standards.

• Facilitate the model validation process with the bank's Model Risk Management team.

• Collaborate with IT teams to integrate developed models into the bank's systems and workflows.

• Collaborate with cross-functional teams to gather input and insights for model improvement and determine appropriate model performance thresholds.

• Assist with the monitoring of model performance.

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 Skills:



• Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or related discipline preferred.

• Strong proficiency in statistical modeling techniques (e.g., logistic regression, linear regression, machine learning techniques) and programming languages (e.g., SAS, Python).

• Demonstrated expertise in supervised models (e.g., regressions, boosting, ensemble learning) and unsupervised algorithms (e.g., clustering and DBSCAN) applied to quantitative risk modeling and data-driven analysis.

• Solid understanding of core statistical concepts, including probability distribution, hypothesis testing, with the ability to apply them in data analysis and model evaluation.

• Solid foundation in Python/SAS/R, with hands-on experience in data cleaning, feature engineering, and implementing basic statistical or machine learning models.

• Excellent analytical and problem-solving skills with attention to detail.

• Ability to communicate complex concepts effectively to both technical and non-technical stakeholders.

• Proficiency with Microsoft Office products (Excel, PowerPoint, Word, etc.).

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

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