Manager

Manager

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

Client protection Fraud detection strategy team supports multiple products in consumer & small business providing fraud & scam mitigation solutions based on statistical analysis, data mining and business visualization intelligence.

Job Description

Overall 5+ experience, with mandatory hands-on experience in fraud Policy analytics across different portfolios like Credit Card, ATM/Debit, Digital, Checks & Deposit

Responsibilities :

• Proficient in end-to-end data analytics and deriving fraud insights suggesting changes to policies using analytical techniques including decision trees, random forests and other quantitative methods.  Goal will be to identify and mitigate new and emerging fraud threats and suggest changes in policies proactively across various portfolios, especially in Credit card & ATM.
• Deep understanding of complex, multifaceted business priorities and identifying new sources of data that can enrich our policy related processes, be added to our decision systems, and allow for new changes in policies to be developed.
• Thorough end to end experience in data exploration, coding, testing, presenting to LOB & implementing process by running Autosys/production jobs & automation
• Review incoming trends and defects and make recommendations to change existing policies to proactively reduce fraud.
• Development of both ad-hoc and more standardized reporting (MIS).

• Exposure in banking domain is must , handling large datasets with the ability to analyze and visualize data to improve processes and strategies
• Proficiency in exploring and deriving complex algorithms, statistical languages & visualization software’s like SAS, SQL, Tableau
• Collaborate with multiple stakeholders across US partners, risk, operations & technology         

Requirements :

Education : Post graduate degree/Advanced degree, preferably in Statistics/Mathematics, Computer Sciences, Engineering from a premier institute is must

Certifications (if any) :  SAS, SQL & data analytics tools/software is preferable

Experience Range

•            5+ years (post-qualification)

 Foundational skills

• Must have advanced knowledge of SAS and SQL ( 3+ year of experience)
• Must have at least 5 years of relevant experience in analytics 
• Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results
• Ability to work in a fast-paced, dynamic environment is critical
• Must have exceptional organizational, project management and communications skills
• Strong preference working in financial services, particularly fraud or cyber security
• Understanding of business domains like Fraud/Compliance/Risk 
• Must have exposure of data extraction tools such as Hive or HUE.

Desired Skills :

• Strong stakeholder management skills
• Familiarity with other programming languages such as Python, R or Java will be preferred

Work Timings

•            12:30 pm to 9:30 pm

Job Location

Mumbai

Experience Level

Mid Level