Bank Of America Quantitative Finance Analyst 

United States, North Carolina, Charlotte 

558857446

Job Description:

Job Description:

is responsible for building model software and tooling for the Emissions Calculators and Analytics functions using python and the firm’s proprietary calculator platforms. The role requires close collaboration with Model Developers, Model Risk Management Reviewers and Operational Product Owners. Additionally, the role will support data processing, Front end UI buildout and adopting enterprise level controls when executing production exercises. Candidate must be able to communicate across technology partners, model developers and the business lines to execute on viable software solutions, with a focus on end-user experience and controlled usability. Candidate must be strong in understanding the problems and implementing software solution using the Python Programming language.

The role will be responsible for building quantitative software libraries to estimate Greenhouse Gas Emissions resulting from the bank’s financing activities. Responsibilities include:

• Designing and Developing mathematical software packages using Python
• Front-end workflow development to allow end-users to run the calculators
• Writing efficient software and iteratively improving it
• Establishing structure for representing mathematical operations
• Testing work output with continuous integration tools/packages like unittest, pytest, jenkins
• Maintaining Code Quality and ensuring numerical correctness
• Troubleshooting software bugs and partnering with peers in Technology to solve problems
• Documenting and responding to requests / queries from Review Group

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

Master’s degree in related field or equivalent work experience

• Three (3) or more years of experience in software engineering
• Understanding of mathematical software packages (numpy, pandas, matplotlib) and risk management
• Aptitude and interest for solving numerical problems with software
• Advanced knowledge of Python programming language, numerical packages like numpy and pandas
• Knowledge of Data structures, Algorithms
• Knowledge of Object Oriented Software Development
• Keenness to learn the firm’s software platforms where the product is built and deployed
• Understanding of databases, query languages and tools like Oracle, Spark
• Basic Knowledge of climate risk, financial concepts & products

• Working Knowledge of Distributed Software Systems

1st shift (United States of America)