Data Scientist I - Client Protection - Link

Bank of America•Tampa, FL

1d•$105,000 - $193,700•Onsite

About The Position

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 Description: This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection Shared Services – Advanced Analytics is looking for an energetic and inquisitive data scientist to join our team and help us combat financial crime. In this role, you will be expected to work on large and complex data science projects that entail working with both relational and graph databases. In these projects, it is expected to collaborate 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. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic initiatives, large-scale projects, and overall improvements.

Requirements

3+ years experience in data and analytics
Must be proficient with SQL and one of SAS, Python, or Java
Experience using statistical analysis and supervised machine learning to recommend rule-based decisions
Problem-solving skills including selection of data and deployment of solutions
Experience providing thought leadership, developing deliverables, and working with limited direction on complex problems to achieve project goals
Effective 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 produce creative solutions
Experience 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)
Expertise in data analytics and/or technical development lifecycles

Nice To Haves

Advanced degree (Masters or Doctorate) preferably in STEM (Science, Technology, Engineering, Math), business, or finance
5+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas
Understanding of advanced machine learning methodologies including random forest, gradient boosting, neural networks, graph algorithms, Generative AI, and other techniques
Experience using data science tools (e.g. H2O, Spark, Hadoop) and Graph Databases (e.g. TigerGraph or Neo4j)
Familiarity using Git for version control and collaborative code development
Experience engaging with cross-functional teams and in large multi-organization formal projects
Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile
Risk and Issue Management, interpreting relevant laws, rules, and regulations
Data visualization, oral and written communication, and presentation skills

Responsibilities

Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
Applies agile practices for project management, solution development, deployment, and maintenance
Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
Manages multiple priorities and maintains 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 engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
Mitigates risk by identifying potential issues and developing controls
Researches the latest advances in the fields of data science and artificial intelligence to support business analytics
Performs graph analytics to find and mitigate densely connected fraud networks, leveraging cross-portfolio and graph data
Assists with the generation, prioritization, and investigation of fraud rings
Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and data driven insights
Ensures proper documentation of datasets, analytical methods, and assumptions to maintain reproducibility and transparency
Manages multiple priorities while ensuring quality and timeliness of work deliverables, including data science products, data analysis reports, and data visualizations, with the ability to work both independently and collaboratively in a team environment
Manages relationships with multiple technology teams, development team, and line of business partners, ensuring alignment of roadmaps, project execution, and risk management
Supports execution of large-scale projects, such as model deployments and new project integrations by conducting advanced reporting and drawing analytical-based insights
Coaches 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
Delivers engaging and effective presentations in both in-person and virtual settings to communicate technical concepts and analytical results to a diverse set of internal stakeholders, while building professional relationships that foster collaboration on work deliverables
Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics
Identifies business trends based on economic and portfolio conditions and communicate findings to senior management