Manager

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. 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

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

Job Description

This position/role requires interaction across multiple business partners to aide in determining key priorities and project direction for their team. Key functions involve working with the Transformation pillar teams to setup the data infrastructure, data mart designs and maps, maintain repository of centralized data definitions and methodologies, working with other partners within Client protection group to understand data needs, share reporting with leadership, and establish routines with various stakeholders for data reviews and make recommendations where gaps exist. Integrates the analysis with other corporate units to ensure alignment with business and corporate objectives.

Responsibilities -

The role will be responsible for several key areas:

• Development of new fraud strategies using statistical and analytical techniques including decision trees, random forests and other quantitative methods. Goal will be to identify and mitigate new and emerging fraud threats.

• 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. Will require close coordination with partners in Fraud 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

• Development of both ad-hoc and more standardized reporting (MIS).

• Candidate will be part of check fraud detection team and will be working on designing financial center strategies leveraging internal and external data sources

• Collaborate with business, operations, and technology teams across geo-locations to align with strategic goals

Requirements

Education: - Advanced degree, preferably in Statistics/Mathematics, Computer Sciences, Engineering from a premier institute

Certifications If Any -

Technical certifications in SAS, SQL preferred

Experience Range: 5-8 years of relevant experience using SAS, SQL, Data analytics

Experience in U.S. financial services is preferred.

Foundational skills –

• The candidate must be at an advanced to expert level in SAS and SQL.
• Familiarity with other programming languages such as Python, R or Java.
• The candidate must have 5-8 years of relevant experience in analytics.
• Strong preference working in financial services, particularly fraud or cyber security.

Desired skills –

• 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.

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

• 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.

Shift Timings: 11:30 AM to 8:30 pm/12:30 PM to 9:30 PM

Location: Mumbai , Hyderabad