Manager Job Vacancy in Bank of America Gurgaon, Haryana – Updated today

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Full Details :
Company Name : Bank of America
Location : Gurgaon, Haryana
Position :

Job Description : Job Description:
Overview
Bank of America is one of the world’s leading financial institutions, serving individual consumers, small and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services. We are committed to attracting and retaining top talent across the globe to ensure our continued success. Along with taking care of our customers, we want to be the best place for people to work and aim at creating a work environment where all employees have the opportunity to achieve their goals.
We are a part of the Global Business Services which delivers technology and operations capabilities to Bank of America lines of business (LOB) and enterprise functions.
Our employees help our customers and clients at every stage of their financial lives, helping them connect to what matters most. This purpose defines and unites us. Every day, we are focused on delivering value, convenience, expertise and innovation for individuals, businesses and institutional investors we serve worldwide.
BA Continuum is a nonbank subsidiary of Bank of America, part of Global Business Services in the bank.
Process Overview:
Building out Strategies, Analytics, & Process Integration team in India driving improved fraud detection & loss reduction. This role is aligned to the Fraud Data Science Team but will along with our Consumer, Small Business, and Wealth Management Technology Team
Job Description
In this role, you will be expected to work with our lead data scientist and the team executive as well as our internal analytics, technology, product and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, reducing false positive declines at the point-of-sale, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Some tasks that this role may be responsible for include (but are not limited to):
Responsibilities:
Problem Solving:
Ability to think critically and logically to identify potential issues
Create creative and elegant to solutions to simply solve problems
A strong willingness to learn new technologies
Organized and Detailed oriented
Engineering:
Experience in data management solutions architecture, development, and deployment
Experience building E2E ML pipelines: Data prep, Model Build, training models, Deployment, Scoring, Monitoring, and Optimization, especially fine tuning spark and hive application processes.
Experience designing and building full stack solutions utilizing distributed computing or multi-node database paradigms
Robotic process automation to reduce the need for manual, repeatable processes
In addition, the role will be expected to work with the lead data scientist and the team executive and stakeholders to help develop the data strategy for client protection to ensure the organization has the proper data to make the right decisions, with a priority on data availability in real-time, and generating true customer-level views able to make intelligent fraud decisions leveraging the entirety of our interactions with a customer.
Tools:
Hands on experience in designing, developing, and maintaining software frameworks and solutions using the following technologies:
Big Data Platforms – Hadoop, Map Reduce, Spark, PySpark
Streaming/ETL Platform – Kafka , Spark Streaming
Data Science Platforms – H2O.AI, Jupyter Notebooks
Graph Databases – Neo4J, TigerGraph
Project Frameworks – Agile, Dev-Ops, Continuous Improvement/Continuous Delivery (CI/CD) using the Atlassian ecosystem
Requirements:
Education
Advanced degree, preferably in Applied Sciences, Engineering from a premier institute
Certifications:
Technical certifications in Spark, Python , and SQL preferred
Experience:
3- 12 years of relevant experience in field of big data analytics
Hive, PySpark, SQL, data analytics and Python
U.S financial services experience preferable
Understanding of business domains like Fraud/Compliance/Risk preferable
Have strong statistical knowledge
Foundational Skills:
Bachelor’s degree in a quantitative discipline such as mathematics, engineering, economics, finance, business, computer science. Master’s degree or higher preferred. In lieu of a specific degree, advanced certifications in combination with strong experience will also be considered.
The candidate must be at an advanced to expert level on Spark on large data platforms
Must have 3-12 years of relevant experience of working in big data environment including 2 + years in analytics, data engineering, or software deployments, with preference working in financial services. Strong preference to experience in fraud or cybersecurity.
Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results and extensive management experience. Ability to work in a fast-paced, dynamic environment is critical. Must have exceptional organizational, project management and communications skills.
Desired Skills:
Solid knowledge of Hive or Spark and various commercial and model generation software. Should additionally have familiarity with other tools such as SAS, Impala, and other data gathering tools.
Work Timings: 11: 30 AM to 8:30 PM, 12: 30 PM to 9:30 PM
Job Location: Gurugram
.
Job Band:
H6
Shift:
Hours Per Week:
45
Weekly Schedule:
Referral Bonus Amount:
0

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