Portfolio Analyst

About the role

At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB’s engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions. The Portfolio Analyst supports the organization’s Current Expected Credit Losses (CECL) modeling, reporting, and analysis. This role assists in collecting, validating, and analyzing loan portfolio data to support allowance calculations, risk assessments, regulatory reporting, and management presentations.

Responsibilities

• Assist with preparing and validating monthly/quarterly CECL dataset inputs, ensuring accuracy and completeness.
• Support the execution of CECL models, including probability of default (PD), loss given default (LGD), and prepayment models.
• WARM methodology and Static Pool/Vintage Loss analysis.
• Help maintain model documentation and version control.
• Assist in generating CECL allowance calculations and variance analyses.
• Prepare supporting schedules, workpapers, and dashboards for internal stakeholders and auditors.
• Identify trends in portfolio performance, credit quality, and model outputs.
• Support internal and external audit requests related to CECL processes and controls.
• Ensure CECL processes align with regulatory guidance and internal policies.
• Contribute to the enhancement of data quality procedures and risk controls.
• Partner with Credit, Finance, Accounting, and Data teams to gather required inputs and clarify assumptions.
• Support ad hoc analysis and special projects related to credit risk, loan portfolio performance, or regulatory changes.

Requirements

• Degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Analytics, or related field.
• Strong analytical and quantitative skills.
• Previous experience with vended software, like Moody’s Portfolio Analyzer or Impairment Studio preferred.
• Proficiency in Excel; basic familiarity with SQL, R, Python, and data visualization tools.
• Ability to work with large datasets and identify discrepancies.
• Strong organizational skills and attention to detail.

Qualifications

• 3+ years of experience in financial services, banking, credit risk, accounting, or data analytics.
• Exposure to CECL methodology, ALLL, or other credit modeling frameworks.
• Experience with loan servicing or core banking systems.
• Understanding of credit risk metrics and loan portfolio structures.

Skills

• Analytical thinking
• Problem-solving
• Data accuracy and precision
• Ability to manage multiple priorities
• Strong communication skills
• Initiative and willingness to learn complex financial concepts