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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 is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing, and rewarding performance, and how we make an impact in the communities we serve. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for performing more 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. Fraud Prevention and Detection is looking for an energetic and inquisitive experienced data scientist to join our team and help us combat financial crime using graph databases. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: <ul> <li>Link Analysis/Graph analytics to find and mitigate densely connected fraud networks.</li> <li>Developing and tuning graph algorithms to maximize detection of fraud.</li> <li>Work with software developers to create/enhance link analysis process for new fraud detection use cases, and assist with the generation, prioritization, and investigation of fraud rings.</li> <li>Coordinate with stakeholders and tech to deliver process end-to-end, be the gate keeper for issue tracking and remediation.</li> <li>Gather business requirements and translate to technical logic for script development, and design, create and monitor daily report/QA metrics for fraud detection process.</li> <li>Document and prepare attestation response for process and fraud strategy with governance team.</li> <li>Identify, track, and recommend opportunities for process improvement.</li> <li>Coach and mentor peers to improve proficiency in a variety of systems and serve as a subject matter expert on multiple business and technical-related topics.</li> <li>Identify business trends based on economic and portfolio conditions and communicate findings to senior management.</li> <li>Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics-based insights.</li> </ul> Required Qualifications: <ul> <li>A minimum of 4 years of experience in data and analytics is required.</li> <li>Must be proficient with SQL and one of SAS, Python, or Java</li> <li>Critical problem-solving skills including selection of data and deployment of solutions.</li> <li>Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team.</li> <li>Excellent communication and influencing skills.</li> <li>Thrives in fast-paced and highly dynamic environment.</li> <li>Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions.</li> <li>Model development experience leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, neural networks)</li> <li>Expertise handling and manipulating data across its lifecycle in a variety of formats, sizes, and storage technologies to solve a problem (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka)</li> </ul> Desired Qualifications: <ul> <li>Advanced Quantitative degree (Masters or PhD)</li> <li>7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas.</li> <li>Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques</li> <li>Proficient with H2O or similar advanced analytical tools</li> </ul> Skills: <ul> <li>Analytical Thinking</li> <li>Business Analytics</li> <li>Data and Trend Analysis</li> <li>Fraud Management</li> <li>Problem Solving</li> <li>Collaboration</li> <li>Innovative Thinking</li> <li>Monitoring, Surveillance, and Testing</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Data Visualization</li> <li>Interpret Relevant Laws, Rules, and Regulations</li> <li>Issue Management</li> <li>Oral Communications</li> <li>Written Communications</li> </ul> Minimum Education Requirement: Bachelor’s degree or equivalent work experience Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Cons Prod Strategic Analyst IV

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for performing more 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, independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the line of business and partner organizations (e.g.,. Risk, Product, etc.). 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. Device and Non Monetary Fraud and Innovation Senior Analyst- This job is responsible for performing complex analyses of online logins, device characteristics, and other non-monetary data to minimize fraud loss exposure and negative impacts to the customer experience. Key duties include analytical support on strategy creation and optimization, proposal of policy/procedural changes, and partner engagement within a complex stakeholder matrix. Responsibilities: <ul> <li>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</li> <li>Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights</li> <li>Deriving actionable insights from complex data</li> <li>Investigation and root cause analysis of major fraud losses and emerging trends</li> <li>Implementing incremental fraud mitigation controls in partnership with functional stakeholders</li> <li>Developing effective monitoring and oversight for cross-functional processes, inclusive of performance reporting and newly identified opportunities for collaboration across teams</li> <li>Supporting processes related to initiative management, including impact assessments, business case development, and capability roadmap development</li> </ul> Required Qualification: <ul> <li>4+ years of fraud, cyber, or risk analyst experience developing and/or optimizing mitigation strategies or managing large fraud programs/initiatives</li> <li>3+ years of SQL and/or SAS coding ability</li> <li>Excellent communication and presentation skills</li> <li>Ability to identify opportunities for improvement and work autonomously with minimal direction</li> <li>Expertise in building and managing stakeholder relationships and presenting to senior leaders</li> <li>Ability to work in a fast-paced, dynamic environment </li> </ul> Desired Qualifications: <ul> <li>B.A./B.S in Computer Science, Data Science, Statistics or related field</li> <li>Advanced degree in Computer Science, Data Science, Statistics, or related field</li> <li>Fraud or Claims background with focus on Online Banking, Account Takeover, and/or authentication</li> <li>Understanding of statistical methods for developing performance metrics</li> <li>Familiarity with data visualization tools, preferably Tableau</li> <li>Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)</li> <li>Proficiency coding in SAS and/or Python and using Hadoop Impala/Hive</li> <li>Familiarity with code automation</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

2 IT Jobs in Tampa, FL, USA