Data Scientist II - Graph Data Platform - Client Protection
Charlotte, North Carolina;Plano, Texas; Richmond, Virginia; Fort Worth, Texas; New York, New York; Boston, Massachusetts; Chandler, Arizona; Chicago, Illinois; Tampa, Florida; Kennesaw, Georgia; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona
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:
Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights
Applies agile practices for project management, solution development, deployment, and maintenance
Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production
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
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
Supports the identification of potential issues and development of controls
Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics
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
Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks
Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts
Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business
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
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
Identifies business trends based on economic and portfolio conditions and communicates findings to senior management
Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights
Link Analysis/Graph analytics to find and mitigate densely connected fraud networks
Developing and tuning graph algorithms to maximize detection of fraud
Assist with the generation, prioritization, and investigation of fraud rings
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:
Agile Practices
Application Development
DevOps Practices
Technical Documentation
Written Communications
Artificial Intelligence/Machine Learning
Business Analytics
Data Visualization
Presentation Skills
Risk Management
Adaptability
Collaboration
Consulting
Networking
Policies, Procedures, and Guidelines Management
Shift:
1st shift (United States of America)
Hours Per Week:
40
Bank 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, 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.
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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. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work.
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