Job Description

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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 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:

Fraud and Claims Shared services analytics team comprises of analysts that are responsible for Enterprise analytics and reporting performing end to end data analysis to show fraud performance and metrics at an Enterprise level and at detailed unit and segment level.



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:

• Develop and maintain centralized reporting in collaboration with Client protection and line of business partners
• Develop Enterprise executive dashboards and reporting
• Support data management and setup of Enterprise wide data marts and table views
• Conduct analytics to identify business opportunities and recommendations
• Presenting reporting results at various forums internal and external to FCSO
• Support adhoc reports across the FCSO Enterprise
• Support reporting and analytics for Consumer, Non-Consumer, and Billing Dispute products / channels
• Work with cross functional project teams to bring the teams to consensus on definitions and metrics
• Support setup of infrastructure for centralized repositories and data definitions
• Conduct variance analysis and reporting
• Gather data from various sources and areas
• Review data for completeness and accuracy

Requirements:

Education:

• Advanced degree, preferably in Statistics/Mathematics, Applied Sciences, Engineering from a reputed institute
• Technical certifications in SAS, SQL preferred

Experience:

• 10+ years of relevant experience using SAS, SQL data analytics
• U.S financial services experience preferable
• Understanding of business domains like Fraud/Compliance/Risk preferable

Foundational Skills:

• The candidate must have intermediate to advanced knowledge of SAS and SQL.
• Excel and other applications to support large data aggregation and management
• Advanced data analytics in a big data environment within a risk & fraud function is ideal
• Experience in reporting and automation tools
• Data and reporting experience and attention to detail
• Ability to create trend reports and discuss anomalies with cross functional teams
• Ability to present the data and communication skills
• Manage, structure, and consolidate large amounts of data (building in validation to ensure accuracy)
• Ability to collect, organize and disseminate significant amounts of information with attention to detail and accuracy
• Effective multi-tasker, able to manage multiple files

Desired 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.
• Strong experience on Hadoop (Hive, Impala)
• Tableau and MicroStrategy experience
• Familiarity with other programming languages such as Python, R will be preferred.

Work Timings: 11: 30 AM to 8:30 PM, 12: 30 AM to 9:30 PM

Job Location: GGN