Quantitative Analyst

Job Description 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. Job Description 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! 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 This position is not eligible for sponsorship.*** Required Qualifications 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 Desired Qualifications 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 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 Internal employees who are currently working from home are still eligible to apply. However, if selected for the role, you may be required to work onsite in accordance with the workplace excellence policy. Shift 1st shift (United States of America) Hours Per Week 40 #J-18808-Ljbffr