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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Overview of the Role and Responsibilities:
As a quantitative software engineer on the Global Financial Crimes Modeling and Analytics (GFCMA) team, your main responsibilities include:
• Apply quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Work effectively within and across Agile teams to design, develop, test, implement, and support high-quality software solutions across a full stack of development tools, and technologies
• Explain complex technical concepts to both technical and non-technical stakeholders
• Strong commitment to continuous learning, staying up to date with technologies, and best practices in software engineering
• Have a creative and innovative mindset, able to think outside the box to solve complex problems
• Pay attention to detail by carefully reviewing code and documentation to identify and fix issues to protect the quality and reliability of software
• Be adaptable, able to work in a dynamic environment, and adjust to changing requirements and shifting priorities
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
• Sees the broader picture and is able to identify new methods for doing things
• Strategic thinker that can understand complex business challenges and potential solutions

Requirements:
• 10+ years of software design and development experience using Python, PySpark/Hadoop, Pandas, NumPy, SciPy, Jupyter notebook etc.
• Experience with full Software Development Life Cycle (SDLC) including DevOps using Bitbucket/Git, Jenkins, SonarQube etc.
• Understanding of data engineering best practices related to architecture patterns supporting varying data types, volume, and velocity
• Analytical skills – Ability to troubleshoot and logically assess problems and determine solutions
• Good problem-solving skills, understanding of different data structures, algorithms, and their usage in solving business problems
• A broad knowledge financial markets, products, and risk management
• Degree in Computer Science, or other related fields (MS or PhD is a plus)

Great-to-haves:
• Basic knowledge of statistics
• Experience with financial modeling and pricing
• Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence

General Job Description:
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Responsibilities:

• Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
• Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
• Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
• Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
• Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
• Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
• Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Skills:

• Critical Thinking
• Quantitative Development
• Risk Analytics
• Risk Modeling
• Technical Documentation
• Adaptability
• Collaboration
• Problem Solving
• Risk Management
• Test Engineering
• Data Modeling
• Data and Trend Analysis
• Process Performance Measurement
• Research
• Written Communications

Minimum Education Requirement: Master’s degree in related field or equivalent work experience

Shift:

Hours Per Week: