Bank Of America Manager 

India, Maharashtra, Mumbai 

376006795

Process Overview

on cutting edge technology and analysis leveraging machine learning, artificial intelligence and NLP, statisticalanalysis, data mining and business visualization intelligence. The division comprising of highly qualified associatesoperates from three locations i.e. Mumbai, Gurgaon & Hyderabad.Job Description*Responsibilities*Development of new fraud strategies using analytical techniques including decision trees, randomforests and other quantitative methods

Responsibilities*

• Development of new fraud strategies using analytical techniques including decision trees, random forests and other quantitative methods

• Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed

• Collaborate with multiple stakeholders across US partners, risk, operations & technology

• Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies

• Review incoming trends and defects and make recommendations to change existing fraud rules

• Candidate need to work on any of the given products - Credit Card / Debit Card / Deposit / Check /Reporting / ATO/New Accts/Digital

Requirements*

• Bachelor’s degree is desired, preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance or business.

• Post graduate degree/Advanced degree, preferably in Statistics/Mathematics, Computer Sciences, Engineering from a premier institute is a plus

Certifications If Any

• Technical certifications in SAS, SQL preferred

Experience Range*

• 5-8 years (post-qualification)

Foundational skills*

• Must have intermediate to advanced knowledge of SAS and SQL

• Must have at least 5 to 8 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

Desired skills

• Strong preference working in financial services, particularly fraud or cyber security

• Understanding of business domains like Fraud/Compliance/Risk

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

• Knowledge of data extraction tools such as Hive or HUE will be preferred.

Work Timings*

• 11:30 am to 8:30 pm/12:30 pm to 9:30 pm