Consumer Credit Strategy Analyst III

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.

This position is an individual contributor role responsible for support of strategies and data within Credit and Underwriting. The individual will serve as the Consumer Vehicle Lending Strategies Pillar Leader, responsible for managing day to day control monitoring, partnering with Strategies to develop new monitoring routines to validate underwriting strategies and lender decisions are working as expected. The centralized oversight by this individual will evaluate existing monitoring routines for potential enhancements, ensure proper escalation and resolution when unexpected outcomes are observed.

Responsibilities:

Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs

Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

Leads coordination of the production of product performance reports and updates for senior management

Evaluating route cause/gaps

Diving into complex data structures across multiple LOB to quickly acquire an in depth knowledge and demonstrate impact in a timely manner.

Developing comprehensive strategy simulation monitoring of automated strategies to evaluate health of data and strategies

Package findings for socialization with Strategies, Business Enablement, Legal, Risk, Compliance and senior leaders which articulates associated risks and recommendations

Remain flexible and juggle multiple complex work streams at a time

Foster a strong network for collaboration

Completing account/application reviews when needed to evaluate monitoring outputs to determine if observations are confirmed findings vs. false positives

Ability to enhance monitoring scripts to weed out false positives

Strong analytical skills are required with extensive experience manipulating large data sets using SQL and SAS.

The candidate should possess the ability to independently drive improvements and proactively consult with partners to identify business needs and solutions.

Responsible for supporting projects and initiatives within US Consumer Card Credit Authorizations Strategies

Leverage data to develop Authorization strategies which balance the risk/reward equation

Complete ad hoc analysis and monitoring for existing strategies

Assist with the implementation of Authorization strategic changes and enhancements

Required Qualifications:

2+ years programming and analytics experience with SAS/SQL, Excel, Access, Word, and PowerPoint

2+ year’s experience using database software and analytical/reporting tools, such as SAS, SQL, DB2 to access large relational databases

Demonstrates a strong understanding of credit risk strategies, financial drivers, and credit operations with proven problem-solving skills

Knowledge of the core credit platforms utilized in consumer and small business banking

Understanding of statical functions (e.g. standard deviations) and tools for development, validation, implementation and documentation of credit risk and/or marketing business strategies and scoring toolkits

Must be decisive and client focused, a team player, creative, strategic, and be a thoughtful risk-taker

Intermediate to advanced knowledge of MS Office (Excel, Word, and PowerPoint)

Knowledge of credit policies and procedures for consumer or small business lending

A passion for learning and using data to derive trends, detect risks, and execute strategy projects

Excellent presentation, communication and organizational skills; ability to collaborate, manage and expand relationships across the organization and with all levels of management

Desired Qualifications:

Bachelor’s or Master’s degree preferred in mathematics, statistics, computer science, engineering, economics, finance, or a related quantitative discipline or equivalent experience

Strong understanding of credit strategies, how they are executed, and how decisioning data is passed downstream for analysis.

Expertise regarding the relationships and processes between credit strategies and strategy execution teams is highly desired

Previous work experience in strategies and/or strategy execution, support of consumer or small business lending involving the use of credit bureau information

Previous experience in developing credit risk strategies or models preferred

Skills:

Business Analytics

Business

Data Quality Management

Fraud Management

Monitoring, Surveillance, and Testing

Collaboration

Data Visualization

Oral Communications

Problem Solving

Written Communications

Analytical Thinking

Critical Thinking

Data and Trend Analysis

Innovative Thinking

Research

Shift:1st shift (United States of America)

Hours Per Week: 40

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