About this opportunity
Original employer descriptionJob 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!
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.
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
Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation.
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, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience
7+ years of relevant work experience
Key Skills
- Software engineering: modular code, software lifecycle processes, unit testing, regression testing
- Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software
- Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)
- High level of intellectual curiosity
- Experience implementing strategic process improvements and/or automation
- Proven track record of building relationships and effectively influencing key stakeholders
- Adept at detecting and remediating organizational / process weaknesses and deficiencies
- Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines
- Strong written, verbal, presentation creation and delivery skills, typically to very senior audiences
- Well organized with attention to detail
- Willing to challenge the status quo and with a track record of driving change
Qualifications
- At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries
- Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
- Proven track record of seamlessly leading and executing enterprise-wide initiatives
- The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators
- Strong analytical and problem-solving skills
- Candidates should have at least three of the following skills:
- Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
- Experience with large scale data sets with structured or unstructured data
- Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
- Experience implementing process improvements and automation
Skills:
- Critical Thinking
- Data Modeling
- Process Effectiveness
- Risk Modeling
- Test Engineering
- Influence
- Oral Communications
- Prioritization
- Relationship Building
- Written Communications
- Attention to Detail
- Change Management
Minimum Education Requirement: Bachelor’s degree in related field or equivalent work experience
Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)
Pay and benefits information
Pay range
$140,000.00 - $212,500.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
