Data Engineer III A

Job Description

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:

Wealth Management Technology team is responsible for Client onboarding, Investment Solutions, Alternatives Investments, Order Management, Supervision and Retirement. This team provides wealth management financial solutions to individual & institutional clients.

Job Description

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Responsibilities:

Primary responsibility is to develop advanced machine learning models. Assemble large, complex data sets and automate the data validation and ETL process. Ability to query & analyze the data required for ad hoc requirements on the fly and generate reports for the team to use. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Combine structured and unstructured datasets to derive insights. Closely work with data scientists to create time series datasets for modeling.

Requirements

Education

B.E. / B.Tech. / MCA

Certifications (if any): NA

Experience Range: 10+ Years

Foundational Skills:

Proven experience in developing and implementing machine learning models (both supervised and unsupervised learning) Expert in AI / Machine learning concepts and ability to implement such strategies. Deep expertise in manipulating and processing datasets from multiple disconnected data sources. Good experience in Data Analytics and interpretation of large volumes of Data Advanced knowledge and expertise with data modeling. Scripting Programming experience with any language like Oracle/SQL, Python, R, Tableau

Desired skills

Advanced knowledge in SQL and using tools like TOAD. Has good data transformation / formatting experience and be able to work with data in different formats. Good logical thinking capabilities with a technical mind-set Team player attitude, enthusiasm, and commitment Ability to prioritize, use own initiative, make quick decisions, be flexible and work independently. Ability to work remotely, with teams spread globally, under pressure, meet deadlines and navigate change. Ability to work and interact with people from a diverse range of backgrounds and opinions. Experience in Wealth Management business process is an advantage.

Job Location: Hyderabad and Chennai

Work Timings: 11:30 AM to 8:30 PM

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