Sr. Analyst, Credit Risk Loss Forecasting

At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.

We believe in a Modern, Flexible Workplace, and we are continuously exploring advancements in technology and office environments to make it easier to work from anywhere at any time, allowing for more flexibility in where and how you work. We know that choice and flexibility are important to you. We also recognize that flexible and remote positions can become opportunities for military partners, caregivers, and individuals with disabilities to thrive at our company. We invite you to consider what a Modern, Flexible Workplace can mean for you!

It is anticipated that an incumbent in this role will work onsite for three (3) or more days a week and will have a dedicated workspace when working onsite. Work location is subject to change based on business needs.

This role is responsible for providing monitoring, analysis and recommendations for the development of FNBO’s Consumer Bank loss forecasting models for credit card and unsecured consumer loan portfolios.
The Senior Analyst, Risk Forecasting utilizes advanced data science and problem-solving skills to maintain and improve the accuracy of loss forecasting models and explain underlying trends in the portfolio and economy.

About This Role:

Major Responsibilities: 

• Perform statistical analyses to identify data trends and relationships and develop and maintain credit risk forecasting models. Apply time series analysis, survival analysis, logistic regression and other modeling techniques to develop credit loss forecasting models.
• Document developed models according to the model risk policies. Communicate statistical analyses and forecast results, working with cross-functional areas, to ensure successful implementation.
• Work with Finance to provide loss forecasts for reserve for bad debt, CECL forecasting, and portfolio stress testing, while ensuring applicability, efficiency, and accuracy of underlying statistical models and methodologies utilized.
• Analyze complex business credit risk trends in relation to loss forecasting and macroeconomic variables, and present to management these scenarios and implications to business outcome.
• Work with other credit risk analysts to develop, monitor and maintain an appropriate credit risk appetite.
• Identify and explore new statistical credit forecasting methodologies/technologies

The Ideal Candidate for This Role:

Knowledge, Skills, Experience and Education:

• Understanding of statistical techniques and modeling, strong programming skills.
• Ability to work with data to identify complex business trends and propose solutions.

Required:

• Master’s degree in data science, mathematics, statistics, finance, economics, or equivalent experience.

• 3+ years of experience in Credit Risk Forecasting or other related Forecasting.
• 3+ years of experience using Python programming, with a focus on data analysis and financial modeling.
• Strong knowledge of SQL and experience working with cloud-based data warehousing solutions (e.g., Snowflake) and version control systems (e.g. Git).
• Proven ability to work collaboratively within a cross-functional team environment.
• Ability to present recommendations and influence senior management.
• Expert knowledge of Excel. 
• Demonstrated excellent oral and written communication skills.
• Demonstrated ability to handle stress, meet deadlines and work independently.

Desired:

• Understanding of Credit Card/Consumer Banking Business Model.
• Credit Card/Consumer Banking Industry Experience.
• Experience with Logistic Regression, Time-series Models, Survival Analysis.
• Experience with Python, R, and SQL.

Compensation:

Compensation range (base pay): $80,061.00-$132,099.00

Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

Benefits Overview:

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:

• Medical, Dental, Vision Insurance

• 401k, With Matching Contributions

• Time Off Programs

• Health Savings Account (HSA)/Dependent Care

• Employee Banking

• Growth Opportunities

• Tuition Assistance

• Short-Term/Long-Term Disability Insurance

Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/.

For additional information regarding compensation and benefits, e-mail FNBO at [email protected]. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.

Job number: R-20250128

Equity, Diversity, & Inclusion:

FNBO is committed to belonging, inclusion, diversity and equity. We are committed to intentionally and proactively creating pathways to success for historically underrepresented populations. To accomplish this,  we foster a culture of belonging and inclusion so that every employee is valued, and has opportunity and the ability to make an impact.  FNBO strives to reflect the diversity of the communities we serve in the makeup of our workforce.

See the full FNBO Equity, Diversity, & Inclusion Statement here

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Click here to download 'EEO is The Law' Self-Print Poster

Click here to download 'EEO is The Law' Supplement for Federal Contractors

Click here to download 'EEO is The Law' GINA Supplement

FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC

FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)

Application Deadline:

All our jobs will be posted for a minimum of 5 calendar days.  Job postings may come down prior to 5 calendar days based on volume of applicants.