Sr. Quantitative Engineer

Bank of America; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Bank of America in Jersey City is seeking a Senior Quantitative Engineer to design and oversee scalable software components that underpin GRM's data and analytics. You will work with senior modelers, risk managers, and technologists to map current state and architect the future data stack across big data pipelines and risk models.

This role focuses on applying quantitative methods to meet regulatory requirements, building reusable tools, and maintaining capabilities as portfolios and market

Qualifications

• Proven ability to design scalable software components for data-intensive systems.
• Experience applying quantitative methods to risk and regulatory needs.
• Strong programming and software development lifecycle knowledge.

Responsibilities

• Seek opportunities for consistent improvement in quality and efficiency.
• Collaborate with senior stakeholders across Global Risk Analytics and Enterprise Independent Testing, Front Line Units, Technology, Audit and Compliance.
• Provide leadership and oversight to less experienced team members.
• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements.
• Understanding financial data: schemas, flows, data issues, data controls, etc.
• Building performant big data pipelines.
• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes.
• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements.

Skills

Software engineering

Big data

Modeling

Data analytics

Education

Bachelor's degree in Computer Science

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!

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.

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

Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementation of common, reusable, and scalable software components. These components enable GRM's data and analytical capabilities. These components can be 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). Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative engineers have a combination of software engineering, big data, modeling and management skills and the ability to work across the entire spectrum of a big data stack - from data to logic to model to UI to UX

Job Responsibilities

• Seek opportunities for consistent improvement in quality, efficiency, and processes
• Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance
• Provide leadership and oversight to less experienced team members
• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Understanding financial data: schemas, flow, size, data issues, data controls, etc.
• Building performant big data pipelines
• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
• Think outside the box of current industry standards to develop innovative approaches
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
• Source and evaluate data required for modeling and testing
• Design and develop and implement models and tests
• Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes

Experience

Bachelor's degree in Computer Science