Cons Prod Strategic Analyst IV - Fraud Data Science Modeling

Cons Prod Strategic Analyst IV - Fraud Data Science ModelingFort Worth, Texas;Plano, Texas; Richmond, Virginia; Newark, Delaware; New York, New York; Boston, Massachusetts; Chandler, Arizona; Charlotte, North Carolina; Tampa, Florida; Kennesaw, Georgia; Phoenix, ArizonaJob Description : At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. 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.Responsibilities : Fraud Prevention and Detection is looking for an energetic and inquisitive senior 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.Some tasks that this role may be responsible for include (but are not limited to) : Link Analysis / Graph analytics to find and mitigate densely connected fraud networksDeveloping and tuning graph algorithms to maximize detection of fraudAssist with the generation, prioritization, and investigation of fraud ringsPerforms 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 performanceCoaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topicsIdentifies business trends based on economic and portfolio conditions and communicates findings to senior managementSupports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insightsRequired Qualifications : A minimum of 4 years of experience in data and analytics is requiredMust be proficient with SQL and one of SAS, Python ,or JavaCritical problem-solving skills including selection of data and deployment of solutionsProven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader teamExcellent communication and influencing skillsThrives in fast-paced and highly dynamic environmentIntellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutionsModel development experience leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, neural networks)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)Desired Qualifications : Advanced Quantitative degree (Masters or PhD)7 years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areasUnderstanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniquesProficient with H2O or similar advanced analytical toolsSkills : Analytical ThinkingBusiness AnalyticsData and Trend AnalysisFraud ManagementProblem SolvingCollaborationInnovative ThinkingMonitoring, Surveillance, and TestingPresentation SkillsRisk ManagementData VisualizationInterpret Relevant Laws, Rules, and RegulationsIssue ManagementOral CommunicationsWritten CommunicationsShift : 1st shift (United States of America)Hours Per Week : 40Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.To view the "EEO is the Law" poster, CLICK HERE () .To view the "EEO is the Law" Supplement, CLICK HERE () .View the LA County Fair Chance Ordinance () .Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.To view Bank of America’s Drug-free Workplace and Alcohol Policy, CLICK HERE .This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.