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
Creation, implementation, and maintenance of rules and capabilities designed to detect account takeover and non-monetary fraud
Deriving actionable insights from complex data
Investigation and root cause analysis of major fraud losses and emerging trends
Implementing incremental fraud mitigation controls in partnership with functional stakeholders
Developing effective monitoring and oversight for cross-functional processes, inclusive of performance reporting and newly identified opportunities for collaboration across teams
Working closely with internal and external partners to understand limitations and opportunities for improvement

2+ years of fraud, cyber, or risk analyst experience developing and/or optimizing mitigation strategies
3+ years of SQL and/or SAS coding experience
Ability to identify opportunities for improvement and work autonomously with minimal direction
Ability to work in a fast-paced, dynamic environment
B.A./B.S in Computer Science, Data Science, Statistics or related field (Desired)
Advanced degree in Computer Science, Data Science, Statistics, or related field (Desired)
Fraud or Claims background with focus on Online Banking, Account Takeover, and/or authentication (Desired)
Understanding of statistical methods for developing performance metrics (Desired)
Familiarity with data visualization tools, preferably Tableau (Desired)
Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.) (Desired)
Proficiency coding in SAS and/or Python and using Hadoop Impala/Hive (Desired)
Familiarity with code automation (Desired)
Experience mentoring or leading other teammates (Desired)
Excellent communication and presentation skills (Desired)
Expertise in building and managing stakeholder relationships and presenting to senior leaders (Desired)

Senior Fraud Analytics and Innovation Analyst – Device and Non-Monetary

Key skills