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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 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: Client Protection is looking for an experienced analytical leader to join the digital commerce fraud strategy team. This is an exciting opportunity given the constantly evolving nature of digital adoption and attacks in marketplace as well as in money movement. The incumbent will be responsible for managing a team focused on fraud and scam prevention strategies for key digital money movement channels. Responsibilities will include, working across multiple lines of business; partnering with product, technology, operations, vendors, and others; responsibility for the overall first party fraud loss line; and evaluating various internally developed and vendor provided machine learning tools to maximize client experience while managing fraud most effectively. As a Fraud Strategy Manager with the Client Protection organization, you will capitalize on technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers. In the role you will spend time analyzing difficult problems as we try to stay one step ahead of the fraudsters. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgement, results oriented with a track record of thriving in a fast-paced entrepreneurial environment. The role will be responsible for several key areas: • Develop and implement robust third-party fraud and scam detection program rooted in digital space to safeguard the organization against financial fraud. • Provide recommendations on mitigation efforts, ensuring monitors are in place, and will self-create initiatives as needed. • Lead a team of fraud analysts in the identification, investigation, and mitigation of fraud activity. • Collaborate with cross-functional teams to integrate fraud detection measures into existing systems and processes. • Stay abreast of industry trends, emerging threats, and technological advancements to continuously enhance fraud prevention methodologies. • Analyze data and conduct investigations to identify patterns, trends, and anomalies indicative of potential fraud. • Identifying new sources of data (internal or vendor-provided) that can enrich our existing detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Will require close coordination with partners in Fraud Technology. • Drive the development of new models designed to detect fraud activity. • Ensuring proper risk controls are deployed, while adhering to best practices. • Provide oversight on defect reviews of 3rd party/scam loss cases to identify any gaps in Fraud strategy and/or procedural adjustments. • Providing fraud requirements, testing, and development of strategies for new project and endeavors • Lead the team to Develop, implement, and continuously improve fraud detection algorithms and systems. Perform regular audits and analysis of transaction data to detect new fraud trends. • Guiding team to Develop new fraud strategies using statistical and analytical techniques. Goal will be to identify and mitigate new and emerging fraud threats. • Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention. • Monitor Strategy performance and Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies. • Systems Integration: Integrate fraud detection systems with core banking and transaction processing systems using APIs and middleware solutions. Collaborate with IT and software development teams to ensure seamless integration and functionality of fraud management systems. Manage and optimize the performance of fraud detection systems and tools. • Policy and Strategy Development: Stay updated with the latest fraud trends, regulatory requirements, and best practices. Lead the creation and refinement of fraud detection and prevention strategies. • Work closely with compliance, legal, risk management, and other relevant departments to align fraud management efforts with organizational goals. Conduct training sessions and workshops to educate staff on fraud detection techniques and policies. • Identify process improvements and efficiencies via data analysis. • Deliver accurate metrics related to fraud and claim activity. Validate the integrity and quality of data required for performing analysis. • Partner with claims, policy, strategy, and product teams to deliver data insights and analysis that inform critical decisions and help achieve goals. Required Qualifications: • 3+ years of experience in advanced to expert level in SQL and SAS • Minimum 7 years of work experience in large financial institution with specialization in data analytics • Minimum 5 years of experience in managing teams. Desired Qualifications: • The candidate must be at an advanced to expert level in SAS and SQL. Should also have familiarity with other programming languages such as Python, R, or Java. Knowledge of data extraction tools such as Hive or Hue will be useful. • Experience in Statistical model utilization • 3+ years of decision tree development • Experience in managing fraud for digital products (Zelle, Wires, ACH, Bill pay) • Expertise in fraud detection and management platforms, specifically SAS Fraud Management and creation of user defined variables for rule development. • Ability to work in a fast-paced, dynamic environment is critical. • Must have exceptional organizational, project management and communications skill. • Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results. • Ability to work independently as well as effectively work in teams with individuals with a variety of skills and backgrounds. • Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes. • Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.) • Proven strong analytical and communication skills. • Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. • Bachelor’s degree, preferably in a quantitative discipline such as mathematics, statistics, operations research, engineering, computer science, finance, or business. Skills: <ul> <li>Analytical Thinking</li> <li>Business Analytics</li> <li>Data Mining</li> <li>Fraud Management</li> <li>Business Process Analysis</li> <li>Critical Thinking</li> <li>Influence</li> <li>Relationship Building</li> <li>Strategy Planning and Development</li> <li>Business Case Analysis</li> <li>Issue Management</li> <li>Leadership Development</li> <li>Process Performance Measurement</li> <li>Recruiting</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Fraud Analytics and Innovation Senior Leader - Client Protection

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 reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer 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 counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services – Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. 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>Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights</li> <li>Applies agile practices for project management, solution development, deployment, and maintenance</li> <li>Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production</li> <li>Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment</li> <li>Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables</li> <li>Supports the identification of potential issues and development of controls</li> <li>Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics</li> <li>Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology</li> <li>Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks</li> <li>Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts</li> <li>Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business</li> <li>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</li> <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>Identifies business trends based on economic and portfolio conditions and communicates findings to senior management</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>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>Assist with the generation, prioritization, and investigation of fraud rings </li> </ul> Required Qualifications • Minimum of 4 years of experience in data and analytics • Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages • Must be proficient with SQL and one of SAS, Python, or Java • Critical problem-solving skills including selection of data and deployment of solutions • 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 • Excellent communication and influencing skills • Thrives in fast-paced and highly dynamic environment • Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions • Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) • Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications • Advanced STEM (Science, Technology, Engineering, Math) 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 areas • Deep understanding of graph databases, graph algorithms, and experience developing graph schemas • Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques • Proficient with H2O or similar advanced analytical tools • Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects • Experience influencing mid to senior (executive) level leaders • Experience managing risk and issue remediation • Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

2 Data Science Jobs in Dallas, TX, USA