Quantitative Analyst II-Enterprise Fraud

First Citizens Bank•Raleigh, NC

15d•Hybrid

About The Position

This is a hybrid role with the expectation that time working will regularly take place inside and outside of a company office. We are looking for candidates who live within a commutable drivable distance to our Raleigh, NC, Phoenix, AZ or Jacksonville, FL office. Open to remote in several markets for highly qualified candidates. This Quantitative Analyst II-Enterprise Fraud position will engage in the review, development, testing, and ongoing monitoring of both vendor and internally developed fraud and operations models. Responsible for gathering, organizing, and analyzing large datasets using statistical techniques and tools to assist management with making informed business decisions while ensuring data quality, integrity and compliance with model risk management standards.

Requirements

Bachelor's Degree and 4 years of experience in financial, statistical, or quantitative analysis experience OR High School Diploma or GED and 8 years of experience in financial, statistical, or quantitative analysis experience
Proficiency with Microsoft Office products (Excel, PowerPoint, Word, etc.)
Strong organizational and time management skills are important as multi-tasking is essential
Ability to work independently on assigned duties while successfully collaborating in a team friendly environment
Ability to communicate complex concepts effectively to both technical and non-technical stakeholders
Excellent analytical and problem-solving skills with attention to detail

Nice To Haves

Bachelor's Degree in Statistics, Economics, Mathematics, or related field
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),programming languages (e.g., SQL, Python, R, SAS), and visualization tools like Power BI
Demonstrated expertise in supervised learning models (e.g., regressions, boosting, ensemble learning), unsupervised algorithms as well as rules- based models
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

Responsibilities

Data Analysis – Gathers, organizes, and sorts data to develop moderately complex fraud prevention models and/or models to increase operational effectiveness and efficiency. Accesses structured and unstructured systems across the organization, utilizing coding efforts to meet testing requirements and implement data quality controls. Communicates findings effectively and in a timely manner.
Model Development – Designs, develops, and maintains fraud detection models across card, ACH, wire, and digital channels. Ensures models meet regulatory and model risk management standards on documentation, testing, and monitoring plans. Support model tuning, challenger models, and change management.
Business Support – Partners with business units and fraud strategy team to optimize model thresholds, reduce false positives and manage customer friction.
Process Improvement – Provides support for the department regarding technical inquiries by coordinating with external vendors or internal subject matter experts. Identifies potential improvements to current procedures, plans, and controls to achieve business objectives and regulatory requirements.

Benefits

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.

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