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Manager
manager · Data Science & Analytics
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*
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 Risk Management, Loss Mitigation and Prospecting Support provide solutions for fraud loss reduction, risk mitigation and cost optimization. The division comprising of highly qualified associates operates from five locations i.e., Mumbai, Gurgaon, Chennai, GIFT & Hyderabad. We facilitate information advantage with Strategic/Analytical solutions across Bank by supporting multiple lines of business and control functions.
Responsibilities
This role is part of Fraud Advanced Analytics group where the incumbent will be expected to work with our Data Science 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):
· Development and optimization of algorithms to detect anomalies in portfolio level behavior.
· Analysis of the emerging threats, in collaboration with Strategy and Policy partners, and expansion/refinement of the monitoring for known high risk behaviors.
· Design and implementation of visual dashboards supporting anomaly detection alerting process
· Assist with the deployments of the monitoring algorithms in coordination with various Tech partners.
· Work with Data Science team on development of the advanced anomaly detection techniques, including unsupervised machine learning.
· Initial triage of the monitoring alerts to understand the drivers behind the anomalous behavior.
· Hands on experience in SAS, PySpark and Hive
· Strong SQL skills with commensurate experience in a large database platform
· A strong willingness to learn new technologies and ability to think critically.
· Robotic process automation to reduce the need for manual, repeatable processes
Requirements
Education – Advanced degree preferably in Applied Sciences, Engineering from a premier institute
Certifications if Any - Technical certifications in SAS, Spark, SQL, Python are preferred.
Experience –
- 4 to 7 years of relevant experience in analytics, with minimum 2+ year of hands-on experience in Pyspark, SAS, Tableau, SQL, Hive and data analysis. Experience with model development and fraud analytics are preferred·
- Proficiency with visualization software such as Tableau and presentation software such as PowerPoint
- U.S financial services experience preferable
- Ability to think outside the box and excellent drive/desire to dig in, learn and make a difference.
Shift Timings: 11:30 to 8:30, 12:30 to 21:30
Location: Mumbai/Chennai/GIFT City