Bank of America · 8 hours ago
Data Scientist II - Client Protection
Greater Phoenix Area
Full-time
Onsite
Mid, Senior Level
4+ years expBank of America is dedicated to enhancing financial lives through responsible growth and inclusive workplace practices. They are seeking a Data Scientist II to analyze large datasets for fraud prevention, collaborate with various teams, and develop effective risk management strategies.
Asset ManagementBankingFinanceFinancial ServicesFinTech
Responsibilities
Perform graph analytics to find and mitigate densely connected fraud networks
Assist with the generation, prioritization, and investigation of fraud rings
Enable business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and data driven insights
Understanding of end-to-end model development work, ranging from supervised, unsupervised, and graph-based machine learning solutions, to maximize detection of fraud or capture anomalous behavior
Manage multiple priorities and ensures quality and timeliness of work deliverables such as data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
Manage relationships with multiple technology teams, development team, and line of business leaders, including alignment of roadmaps, managing projects, and managing risks
Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business
Support the identification of potential issues and development of controls
Support execution of large-scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytical-based insights
Manages a roadmap of data science use cases to answer business trends based on economic and portfolio conditions and communicate findings to senior management, while diligently working and leading peers to solve for these use cases
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
Apply agile practices for project management, solution development, deployment, and maintenance
Deliver 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
Maintain knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics
Engage business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts
Qualification
Required
4+ years of experience in data and analytics
4+ years of experience in data analytics within fraud prevention
Must be proficient with SQL and one of SAS, Python, or Java
Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages
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 produce creative solutions
Exposure to model development leveraging supervised and unsupervised machine learning (regression, tree-based algorithms, etc.)
Expertise in data analytics and technical development lifecycles including having coached junior staff
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)
Preferred
Advanced Quantitative degree (Master's or PhD)
7+ 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 neural networks, graph algorithms, ensemble learning like XGB, and other techniques
Proficient with SPARK, H2O, or similar advanced analytical tools
Analytical and Innovating Thinking
Problem Solving and Business Acumen
Risk and Issue Management, interpreting relevant laws, rules, and regulations
Data Visualization, Oral and Written Communication, and Presentation Skills
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
Company
Bank of America
Bank of America is a financial institution that offers credit cards, home loans, and auto loan services.
10001+ employees
H1B Sponsorship
Bank of America has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (780)
2024 (546)
2023 (590)
2022 (759)
2021 (715)
2020 (931)
Funding
Current Stage
Public CompanyTotal Funding
$3.59BKey Investors
Berkshire Hathaway
2025-02-20Post Ipo Debt· $386.79M
2024-11-26Post Ipo Debt· $2B
2020-07-28Post Ipo Equity· $400M
Leadership Team
Charissa Messer
Senior Vice President, Creative Agency Executive (Enterprise Creative Solutions)
Rami Salem
SVP Strategic Competitive Intelligence
Recent News
2026-01-16
2026-01-16
2026-01-16
Company data provided by crunchbase