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Client:
Bank of America
Location:
Belfast, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
9b6005f6e3f1
Job Views:
11
Posted:
26.04.2025
Expiry Date:
10.06.2025
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Job Description:
Description:
This job is responsible for performing complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the Line of Business and partner organizations including Risk and Product teams.
This role is within the Workforce Strategy, Forecasting and Performance, Reporting & Diagnostics Re-Design group. The organization focuses on providing proactive strategic direction for Client Protection that enables insightful reporting/analytics, effective workforce management, and financial forecasting with business narrative. The Loss Forecasting candidate will lead efforts to rebuild the 1st and 3rd party fraud loss forecasts, provide loss performance updates and commentary for loss packages, outline and communicate the drivers of the forecasts, and partner with key stakeholders to understand recent trends, initiatives, and issues that impact the forecasts.
Job Responsibilities:
1. 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
2. Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics
3. Identifies business trends based on economic and portfolio conditions and communicates findings to senior management
4. Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights
5. Provides short and long-term loss forecasting in addition to analysis on both historical and projected 1st and 3rd party fraud loss performance
6. Responsible for developing, evaluating, and recommending new methods to improve forecasting accuracy
7. Develops/builds fraud forecast models leveraging inputs and drivers to improve accuracy
8. Interprets financial results, extracting trends to provide valuable insights to the business and senior management
9. Assists in providing ongoing financial support to the product and loss finance teams
10. Identifies and leads initiatives to continuously improve, automate, and scale forecasting processes and methodologies
11. Partners/collaborates with finance and key stakeholders on the communication of forecast drivers, impacts, loss performance, and reconciliation
12. Prepares, distributes, and consolidates weekly, monthly, quarterly fraud loss packages
13. Implements improvements with recurring monthly reporting and adheres to all deadlines
Required Qualifications:
* Bachelor's degree in Finance, Accounting, Economics (or related discipline)
* 5+ years of fraud experience and/or 5+ years of analytical/financial experience (Payment card/Retail Bank Finance background preferred)
* Outstanding quantitative, critical thinking, and analytical skills
* Confidence with finance and accounting concepts
* Effective communication and interpersonal skills, with the ability to work with and present to senior management
* Leadership qualities and ability to mentor others
* Ability to manage multiple projects and meet deadlines
Desired Qualifications:
* MBA or graduate work in finance, accounting, or business management preferred
* Advanced analytical skills with data and metrics to identify root causes
* Basic understanding of 1st and 3rd party fraud processes
* Experience leading teams
* Strong financial knowledge and understanding of fraud loss drivers
* Proficiency in programming languages such as SAS or SQL and experience with e-Ledger and Enterprise GL tools (EPM)
Skills:
* Analytical Thinking
* Business Analytics
* Data and Trend Analysis
* Fraud Management
* Problem Solving
* Collaboration
* Innovative Thinking
* Monitoring, Surveillance, and Testing
* Presentation Skills
* Risk Management
* Data Visualization
* Understanding Laws, Rules, Regulations
* Issue Management
* Oral and Written Communication
Shift: 1st shift (United States of America)
Hours Per Week: 40
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