Managing Director; Sr Quantitative Finance Mgr

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

• Lead data modernization, transformation and architecture strategy for Global Risk and global risk.
• Direct data owners, data users, data support managers and technology teams to unify data through modern data management techniques and solutions.
• Architect scalable data ecosystem to aid quantitative model development using emerging data strategies and latest technologies such as data lakes, data mesh, data fabric, No
  
  SQL and data virtualization.
• Design and develop Linked Data structures including Knowledge Graphs, Ontologies and Vocabularies to quickly discover, transform and link complex datasets for data science/machine learning algorithms and quantitative models.
• Develop and validate feature stores, quantitative analytics and models for specific business units or risk types.
• Direct activities to support business units and act as a subject matter expert on specified quantitative analytics and modeling techniques.
• Serve as the first or second line of defense overseeing model performance, model risk, and model governance on critical portfolios.
• Partner across GRM, Control Functions, and Front-Line Unit stakeholder teams to evaluate the current data ecosystem; define the vision; drive development of their data strategies and roadmaps for data capture, transformation, transport, and use; and define core KPIs for measuring progress of data strategy, including data quality related to assessing and remediating risk.
• Drive strong partnerships across the organization to fully understand business goals and link them to data needs.
• Collaborate closely with enterprise and Front-Line Units, ensuring that the right strategy and processes are in place to meet strategic data objectives while addressing immediate operating priorities, business impacts, mitigation strategies, and escalation protocols.
• Synthesize existing data governance principles, policies, practices and industry standards to influence development of best practices across the enterprise.
• Drive enforcement of data governance through design and development of best-in-class metadata, lineage and data quality tools.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Computer Science, Information Systems, Engineering (Any), or related: and
• 7 years of experience in the job offered or a related Quantitative occupation.
• Must include 7 years of experience in each of the following:
• Architecting end to end data ecosystems from operational data stores to data lakes and data warehouses using emerging data strategies and design patterns including microservices, data mesh, data fabric and data…