layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Fraud Analytics and Innovation Senior Analyst - Digital Fraud & Scam at Bank of America

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.
Utilizes 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.
Evaluates data to assess potential fraud risk and creating mitigation strategies.
Proposes policy/procedural changes within segmentation structures to produce optimal results.
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs.
Leads the coordination of the production of product performance reports and updates for senior management.
Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data.
Support biometrics capability enhancements and strategy design.
Build and develop logic for strategy.
Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results.
Role would also include project scope leadership where candidate would be responsible for providing fraud requirements, testing, and development of strategies.
Excels at risk/reward trade off.
Participates in the rollout of leading-edge machine learning technology.
Duties primarily include the regular use of discretion, independent judgment, the ability to communicate with multiple levels of management and the utilization of core leadership behaviors.
Required Qualifications: 2+ years of analytical experience (Payment background preferred)
Proficient in SAS or SQL and Excel
Strong quantitative, critical thinking, and analytical skills
Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
Ability to work independently as well as part of a virtual team
Innovative mindset with the ability to challenge the status quo
Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Desired Qualifications: 3+ years of fraud experience
Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
Skills: 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
Shift: 1st shift (United States of America)
Hours Per Week: 40

Fraud Analytics and Innovation Senior Analyst - Digital Fraud & Scam

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