Data Scientist I A - GBS IND

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. 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
• ARQ supports global businesses of the Bank with solutions requiring judgment application, sound business understanding and analytical perspective. The domain experience in the areas of Financial Research & Analysis, Quantitative Modeling, Risk Management and Prospecting Support provide solutions for revenue enhancement, risk mitigation and cost optimization. The division comprising of highly qualified associates operates from three locations i.e. Mumbai, GIFT City, Gurugram and Hyderabad.

Job Description

Individuals should be capable of running technical processes relating to execution of models across an Enterprise portfolio. This will involve familiarity with technical infrastructure (specifically GCP and Quartz), coding languages and the model development and software development lifecycle. In addition, there is opportunity for the right candidates to support the implementation of new processes into target-state, as well as explore ways to make the processes more efficient and robust. Specifically: Manage model execution, results analysis and reporting related to AMG models. The Analyst will also work with the implementation team to ensure that this critical function is well controlled.

Broadly, the team manages models that balance sheet and revenue forecasts derived using complex, statistical models with both technical audiences, including statisticians and modelers and non-technical audiences, and presents financial results in a non-technical manner to Heads of Business and Senior Management. In addition, the Team helps work through the model validation process and maintains process documentation, as required for internal governance or regulatory requirements.

Responsibilities

• •Performing programming in Python and R, with a special focus on time series modeling to support running econometric models;
• •Developing scripts/code to automate data reports;
• •Using 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. Examples of model execution production processes are 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. Also, possess capabilities in data science and data visualization techniques and tools
• •Write SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users

Requirements:

Education*

* Bachelor's degree in statistics, operations research, economics, finance, physics or mathematics

Certifications If Any

Experience Range*

6 to 9 years

Foundational skills

• •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.

Desired Skills ·

• •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 imp