Overview

This is a remote role that may only be hired in the following location: VA

This position will assist in developing and maintaining the firm's Loan forecasting models and tools to report on and manage the financial metrics, balance sheet and risk of the company. This role will be responsible for assigned tasks that support data analysis, modeling, reporting, and documentation that aligns to SR 11-7 and SR 15-19.

Responsibilities

• Data Analysis - Applies sophisticated analytics to assess future risk, opportunities, and effectiveness and translates results into meaningful solutions to improve decision making. Applies data analysis techniques to access the input data quality, integrity, and appropriateness of the data used in the models. Design data extraction, data logic includes clean up and transformation. Perform exploratory data analysis during model development.
• Modeling - Responsible to build new and existing loan forecasting models which cover total balance, commitment, unfunded, funded, attrition/runoff and prepayment model components. Align model segmentation to business expectation, credit loss forecast team. Engages in model validation and address findings from model validation reports.
• Reporting - Updates Internal Procedures and Guidelines documents to make sure the model operation processes are up to date and model development documentation is aligned to FCB MRM policy and SR 11-7 and SR 15-19. Maintains the process flows updated and saves operational/governance controls.
• Business Support - Work with business and CCAR stakeholders regarding current and/or proposed PPNR models working with businesses, risk, and finance teams to submit and validate data and analyze the consolidated results production and data quality assurance of the submission and partnering with other CCAR teams such as documentation, process or review and challenge to provide and analyze results. Collaborates with model validation, Credit Team, data team, other modeling teams and audit.
• Financial Support - Develop robust qualitative and quantitative models and analytics for improving CCAR stress testing results and capital decision-making. Support treasury ALM on interest rate risk management by building BAU models. Enhance analytics to support line of business to understand the economic driver of business growth.

• Master's degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. CFA is preferred.
• 3+ years of relevant business/academic experience in Quantitative modeling and model development, model implementation, or model validation experience.
• Knowledge in statistical modeling techniques such as model forecasting and statistical modeling approaches such as linear/logistic regression model, time series, and error-correction models, GARCH (OLS, VAR, Cointegration, etc.)
• Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries.