Bank of America is looking to optimize end-to-end climate risk data delivery and perform complex analysis for financial forecasting and risk management.
Requirements
- Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R;
- Using big data technologies SQL to handle large volumes of data produced for complex financial forecasting models;
- Developing data visualization tools using Tableau to analyze and present data in order to support model development of mortgage loan loss forecast;
- Employing data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.
Responsibilities
- Optimize end-to-end climate risk data delivery target state partnering with internal stakeholders.
- Ensure data quality and accuracy by establishing and improving data quality checks.
- Execute on Authorized Data Source (ADS) Data Sourcing and Provisioning strategy, in alignment with Enterprise Data Management and Global Risk objectives.
- Perform complex analysis and being engaged in the development of modelling that maximizes profits and asset growth and minimizes credit and operating losses and other risk exposure.
- Provide analytical support on various product strategies to ensure company goals are met.
- Coordinate the production of performance reports for senior management.
- Participate and develop more complex program processes to extract data and using databases to support statistical and financial modelling.
Other
- Master's degree or equivalent in Statistics, Mathematics, Computer Science, Information Systems, or related: and
- 1 year of experience in the job offered or a related Quantitative occupation.
- Remote work may be permitted within a commutable distance from the worksite.
- This role is eligible to participate in the annual discretionary plan.
- This role is currently benefits eligible.
