Device and Non Monetary Fraud Analytics and Innovation Senior Analyst

Bank of America•Tampa, FL

7d•$100,000 - $133,600•Onsite

About The Position

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for performing more complex analysis and modeling to minimize fraud 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/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies. Account Takeover (ATO) persists as one of the most prevalent threats within the fraud landscape today. This, coupled with the expansion of our digital capabilities, and the wide array of compromised information available for purchase, has increased the scope and complexity of effectively detecting, mitigating, and monitoring ATO risk within the Bank’s ecosystem. The Fraud Prevention and Detection organization relies heavily on our understanding of current fraudster tactics to expand our capabilities, reduce customer friction, and make strategic investment decisions. Data related to customer profiles and online banking login events hold an important key to securing best-in-class fraud performance and exceptional customer experiences. The selected candidate will work closely with the Cross-Functional teams and internal stakeholders to minimize process gaps and deliver on organizational loss goals.

Requirements

2+ years of fraud experience developing and/or optimizing mitigation strategies
2+ 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

Nice To Haves

B.A./B.S in Computer Science, Data Science, Statistics or related field
Advanced degree in Computer Science, Data Science, Statistics, or related field
Fraud or Claims background with focus on Online Banking, Account Takeover, and/or authentication
Understanding of statistical methods for developing performance metrics
Familiarity with data visualization tools, preferably Tableau
Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)
Proficiency coding in SAS and/or Python and using Hadoop Impala/Hive
Familiarity with code automation
Experience mentoring or leading other teammates
Excellent communication and presentation skills
Expertise in building and managing stakeholder relationships and presenting to senior leaders
Cyber, or risk analyst experience developing and/or optimizing mitigation strategies

Responsibilities

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
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