Assistant Manager

Job Description:

Overview (Bank overview, GBS India overview, Function 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 all 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*

Analytics Research and Modelling (ARM) team supports multiple businesses of the Bank providing solutions based on cutting edge technology and analysis leveraging machine learning, artificial intelligence and NLP, statistical analysis, data mining and business visualization intelligence. The division comprising of highly qualified associates operates from three locations i.e. Mumbai, Gurgaon & Hyderabad.

Job Description*

Building out Strategies, Analytics & Process Integration team in India driving improved fraud detection & loss reduction

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*

Education*
• 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*
• 2-4 years (post-qualification)

Foundational skills*
• Must have intermediate to advanced knowledge of SAS and SQL
• Must have at least 2 to 4 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 +:30 pm

Job Location*

Gurgaon

India
Rajasthan
Jaipur Show on map Get directions