Senior Quantitative Engineer - Global AML Operations

Job Description:

About Us

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 designing and overseeing common, reusable, and scalable software components which are either domain independent (e.g., generic data quality tools over billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Key responsibilities include enabling Global Risk Management's data and analytical capabilities. Job expectations include working with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics.

This role is responsible for contributing to the strategy, design and implementation of data architecture and reporting solutions for Anti-Money Laundering (AML). The individual will play a key part in shaping scalable data frameworks, establishing best practices, and delivering high impact reporting capabilities to support business decision making.

Responsibilities:

• Seeks opportunities for consistent improvement in quality, efficiency, and processes
• Partners effectively with senior stakeholders within Global Risk Analytics and Enterprise Independent Testing, Front Line Units, Technology, Audit and Compliance
• Provides leadership and oversight to less experienced team members
• Applies quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Understands financial data: schemas, flow, size, data issues, data controls, etc.
• Builds performant big data pipelines
• Uses programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
• Technology architecture and design of the AML Technology capabilities - creating and maintaining technology roadmap for AML platform in partnership with Business Stakeholders
• Stability, resiliency, performance, and disaster recovery strategy/plans/testing of the AML platforms
• Alignment of technology strategy to enterprise data architecture principles
• Design and development best practices as well as review processes to ensure consistency
• Establishing quantitative metrics to demonstrate adherence to best practices
• Day-to-day oversight, management, and support of AML data platforms
• Reviewing tools & technologies to improve capabilities and performing proof of concepts to evaluate and integrate new tools & technologies
• Design and development of the foundational framework components to promote reusability across the platform
• Providing business domain subject matter expertise in AML
• Effectively manage resource allocations to match the budget and keep track of it
• Ensuring application LOB technology strategy adherence with overall regulatory technology strategy via deep domain and technology expertise and ongoing interaction with enterprise architecture
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices
• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
• Conducts research, design prototyping and other exploration activities such as evaluating new technology
• Manage/track team compositions and maintain balance within Agile teams in regard to resource attrition (Dev)

Required Qualifications:

• 5+ years of experience as an architect or development lead in a complex financial industry data environment
• Extensive experience working in a complex workflow automation
• Owns end to end solution architecture and design for a set of applications within the portfolio
• Extensive hands-on architecture, de