- 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
- Business Analytics
- Business Intelligence
- 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
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Consumer Product Strategy Analyst III - Chicago, United States - Bank of America
![Bank of America background](https://contents.bebee.com/companies/us/bank-of-america/background-dRyPO.png)
Description
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.
Responsibilities:
Skills:
Required Qualifications:
• Previous risk analysis, strategy development, or related experience.
• Basic understanding of 1st and 3rd party fraud, scams and/or mules
• SQL/SAS Coding knowledge and/or experience.
• Ability to build and maintain relationships with line of business leaders and multiple stakeholders throughout the organization.
• Strong written and oral communication skills.
• Ability to manage multiple projects in a complex and rapidly-changing environment.
• Ability to work independently as well as part of a team.
• Excellent time management skills.
• Intellectually curious and willing to dive into complete issues\problems and solve.
Desired Qualifications:
• 3+ years of risk analysis, strategy development, or related experience.
• 3+ years of SQL/SAS Coding experience.
• 2+ years of fraud/fraud detection experience and/or 2+ years of analytical /financial experience (Payment card /Retail Bank Finance background preferred)
• Proven track record of building and deploying Fraud process and control changes
• Advanced Excel capability
• Bachelor's degree, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance or operations research
• Experience with Python and usage of more advanced analytical, visualization and data extraction tools (H2O, HUE, Pig, Spark, Hive, Tableau) is strongly preferred.
Shift:
1st shift (United States of America)Hours Per Week:
40