Data Scientist I A

Job Description:

About Us

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

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.

Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.

In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview*

GRA  Facilitates information advantage and a unified data science strategy across Bank of America by advancing data science and promoting transparency, coordination, and governance of AI applications to support multiple lines of business and control functions.

Job Description*

Individual as part of Global Risk Analytics (GRA) provides decision support services to enable our banking and markets, wealth management, capital management and credit risk business partners to manage risk well.  To accomplish this, Team builds, develops and maintain models for risk and loss measurement.  Additionally we produce and administer forecasts supporting allowance and stress-testing both domestically and internationally.  GRA also provides advanced portfolio and ad hoc business intelligence, analytics and analysis to our business partners.  GRA is made up of four main groups: 

• Forecast Administration and Analytics employees possess a broad set of skills necessary to evaluate financial risk, produce regulatory reporting and evaluate portfolio risk for emerging, systemic, concentration and idiosyncratic risks.  They collaborate with business partners to identify risk mitigation strategies.  They possess high levels of skill in portfolio analysis, econometrics, financial analysis and data visualization.

• Forecast Operations team members utilize their skills in data wrangling, process engineering, database management and software development lifecycle project management to ensure that the processes to create forecasts is well controlled. These team members leverage skills in quantitative methods to conduct ongoing monitoring of model performance.  They also possess capabilities in data science and data visualization techniques and tools.

• Model Development team members possess the skills needed to translate the Bank's risks into models. They are able to produce professional research, evaluate data, conceptualize mathematical frameworks, and build robust code that reflects those frameworks. They are also able to thoroughly document the models they have built and present those models, regardless of complexity, to a wide range of stakeholders.

• Business Strategy and Governance team members support the WRA functions by providing expertise in operational risk, project portfolio management, and organizational development.  These employees rely upon their ability to collaborate across the Enterprise, including with HR, PMO, Finance, Vendor Management and Compliance and Audit functions

Responsibilities

• Execution of Loss Forecasting models and related attributions & sensitivities for both the Commercial and Industry + Commercial Real Estate Wholesale portfolios on a Weekly, Monthly and Quarterly basis covering the following use cases:
  • Climate (Forecasting impacts on the wholesale portfolio as a result of Climate related events)
  • IFRS9 (International Financial Reporting Standard 9)
  • CECL (Current Expected Credit Losses)
  • CCAR (Comprehensive Capital Analysis And Review)
• Support ad-hoc requests related to above mentioned use cases
• Facilitate reporting and reporting workflow generation
• Engage in process re-engineering to improve operational efficiency
• Perform control and governance related functions to support compliance/regulatory deliverables
• Proactively solve challenges with process design deficiencies, implementation and remediation efforts
• Partner with the IT team to perform system related design assessments, user acceptance testing and implementation of updated models
• Build and maintain strong partnerships with internal and external partners

Requirements*

Education*

• BE / MCA

Certifications If Any

• Statistics, operations research, economics, finance, physics or mathematics

Experience Range*

• 6 to 8 Years

Foundational Skills

• Basic understanding of Credit Risk
• Experience with SAS, SQL, R and other related software and hardware
• Experience in data analysis, with strong research and analytical skills
• Fundamental understanding of micro and macroeconomic concepts
• Strong attention to detail and exercises quality control over own work.

​

Desired Skills

• A successful candidate demonstrates learning abilities and following behaviors (not in priority order):
• Is respectful of and curious about what he/she does not know
• Thinks holistically with business and economic intuition
• Listens and learns about model uses, data analysis and sources, technology implementation, credit risk and business , regulation and regulatory guidance, macro/market/credit economics, accounting, capital, stress testing, allowance for loan lease losses
• Executes, is over-prepared and under-whelmed
• Integrates seamlessly across complex set of stakeholders, internal partners, external resources
• Becomes aware and is flexible, adaptive, and proactive
• Is compelling in verbal, non-verbal and writing and communicates with intention

Work Timings*

• 11:30 AM to 8:30 PM IST

Job Location*

• Hyderabad