Quantitative Finance Analyst – Environmental Data Solutions

Bank of America • Full-time • Charlotte • 2w ago

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!

Job Description:
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Line of Business Job Description:

The Environmental Data Solutions Team plays a critical role in executing Bank of America’s environmental data strategy, working with front-line units and control functions to define environmental data requirements and translate those to client-level profiles. This is an important first step in supporting our clients on their Net Zero journey.

The Quantitative Finance Analyst is responsible for building data sourcing process, data research and analytics, support model input data monitoring and developing necessary data or reporting frameworks to support our approaches to Net Zero progress alignment, target setting, client engagement and reputational risk review. This empowers banking teams to assist clients on Net Zero financing strategies and specific commercial opportunities. The role will support and partner with business stakeholders in Technology, Climate and Credit Risk, the Global Environment Group, Lines of Business, Legal Entity Controllers and Model Risk Management. Additionally, the role will support data governance, lineage and controls by building, improving and executing data processes. Candidate must be able to communicate across technology partners and the business lines to execute on viable analytical solutions, with a focus on end-user experience and usability. Candidate must be strong in identifying and explaining data quality issues to help achieve successful and validated data for model execution.

Line of Business Responsibilities:

Create complex SQL queries and extract large, raw datasets from various sources
Merge and transform raw data into usable data and analytic structures
Benchmark model results
Automate repeatable process and generate data insights that are easy for end users to interpret
Conduct quantitative analysis and effectively communicate and disseminate findings and data points to stakeholders
Understand greenhouse gas accounting frameworks and financed emissions calculations as applied to different sectors and asset classes
Represent EDS with critical Climate stakeholders across the firm
Demonstrate capacity for strategic leadership, exercising significant independent judgment and discretion and work towards strategic goals with limited oversight

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
Supports 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
Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
Supports the 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

Required Qualifications:

Knowledge of data architecture concepts, data models, ETL processes
3-5 years’ experience in extracting, and combining data across from multiple sources, and aggregate data to support model development
3-5 years’ experience in multiple database environment such as Oracle, Hadoop, and Teradata
Deep understanding of how data process works and have the ability to solve dynamically evolving and complex data challenges part of day to day activities
Strong documentation & presentation skills to explain the data analysis in a visual and procedural way based on the audience.
Deep expertise in SQL, Excel, Python, automation & optimization and project management
Strong technical and visualization skills, with the ability to understand the business goals, needs, and be committed to delivering recommendations that will guide strategic decisions.
Knowledge on Alteryx, Tableau, R, (knowledge of NLP, data scraping and generative AI welcome)
Strong leadership skills and proven ability to work in a focused team environment, and proven ability in motivating employees and promoting teamwork without direct leadership
Excellent interpersonal, management, and teamwork skills.
Highly motivated self-starter with excellent time management skills and the ability to effectively manage multiple priorities and timelines.
High level of significant independent decision-making ability.
Ability to quickly identify risks and determine reasonable solutions.
Demonstrated ability to motivate others in a high-stress environment to achieve goal.
Ability to effectively communicate and resolve conflicts by both oral and written communication to both internal and external clients.
Ability to adapt to a dynamic and evolving work environment.
Well-developed analytical and problem-solving skills.
Experience and knowledge of the principles and practices of management and employee development.
Ability to think critically to solve problems with rational solutions.
Ability to react and make decisions quickly under pressure with good judgment.

Desired Qualifications:

Degree in data science, earth/climate sciences, engineering, sustainability, natural resource management, environmental economics or finance
Practical experience with supporting data procurement and analytics of leading ESG reporting frameworks, specifically TCFD and PCAF and experience with climate-related data providers and sources (S&P, MSCI, MJB etc)
Knowledge of other frameworks and standards, including SASB, CDP, GRI and other climate and environmental impact reporting frameworks (IFC Performance Standards, Equator Principles, GIRS/IRIS, Impact Management Platform) and industry guidance (SBTi, NZBA, GFANZ, Transition Plan Taskforce, etc)

Skills: