Data Scientist I A - GBS IND

Overview

Run technical model execution, results analysis and reporting for AMG balance sheet and revenue forecast models within Bank of America's ARQ team in Global Business Services.

What you'll do

• Manage model execution, results analysis and reporting related to AMG models.
• Work with the implementation team to ensure this critical function is well controlled.
• Present financial results in a non-technical manner to Heads of Business and Senior Management.
• Help work through the model validation process and maintain process documentation required for internal governance or regulatory requirements.
• Perform programming in Python and R, with a special focus on time series modeling to support running econometric models.
• Develop scripts/code to automate data reports.
• Use strong analytical, critical thinking and problem-solving skills to lead or facilitate discussions across various levels of stakeholders/support partners to drive adoption of new technologies.
• Write complex SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users.
• Identify, analyze, monitor, and present risk factors and metrics to, and integrate with, business partners.
• Proactively solve challenges with process design deficiencies, implementation and remediation efforts.
• Perform operational controls, ensuring consistency and compliance across all functions, including procedures, critical use spreadsheets and tool inventory.
• Assist with enhancing overall governance environment within the Operations space.
• Partner with the IT team to perform system related design assessments, control effectiveness testing, process testing, issue resolution monitoring and supporting the sign-off by management of processes and controls in scope.
• Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models, such as error attribution, scenario shock, sensitivity, result publication and reporting.
• Work with model implementation experts and technology teams to design and integrate Python workflows into existing in-house target-state platform for process execution.
• Leverage skills in quantitative methods to conduct ongoing monitoring of model performance, and possess capabilities in data science and data visualization techniques and tools.

What you'll need

• Bachelor's degree in statistics, operations research, economics, finance, physics or mathematics.
• 6 to 9 years of experience.
• Understanding of Credit Risk modelling and processes.
• Proficiency in programming languages such as SQL, Python, or R.
• Knowledge of databases and SQL language for Oracle, and Hive/Impala.
• Integrates seamlessly across complex set of stakeholders, internal partners, external resources.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Ability to thrive in a fast-paced, dynamic environment and adapt to evolving priorities and requirements.

Nice to have

• Strong proficiency in Python, R, and PySpark, with experience in statistical modeling, data processing, production automation, and scalable model-execution workflows.
• Experience in time series, econometric, and quantitative modeling, including scenario analysis, sensitivity testing, statistical techniques, and model performance monitoring.
• Advanced SQL and data validation skills, with experience developing complex queries for production validation, data reconciliation, downstream integration, data-quality checks, and reporting.
• Strong risk analytics and data visualization capabilities, with experience identifying, analyzing, monitoring, and communicating model performance, risk factors, and key metrics.
• Experience in process automation and technology integration, including automating model-production workflows, error attribution, scenario shocks, sensitivity analysis, result publication, and reporting.
• Knowledge of risk governance and operational controls, including process and control testing, control effectiveness assessments, issue remediation and monitoring, and effective collaboration with business and technology stakeholders.
• Working knowledge of banking and financial services concepts, including financial statements, credit risk fundamentals, portfolio management, lending products, and regulatory considerations impacting risk analytics.
• Exposure to Agile delivery methodologies and experience collaborating across risk, technology, operations, and business teams to drive successful project outcomes.

Details

• Location: Chennai, Tamil Nadu.
• Work timings: 11:30 AM to 8:30 PM.
• Bank of America is committed to an in-office culture, with clear in-office expectations and an appropriate level of flexibility based on role-specific responsibilities and business needs.