Cyber Crime Senior Specialist (Tableau exp. required)

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

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

Position Summary:

Are you passionate about working with the best information security team in the world? Bank of America is hiring top talent to join our team. The Cyber Crime Defense function within Global Information Security is responsible for working across the enterprise to reduce exposure to cybercrime thereby instilling continued confidence of our clients, customers, and shareholders.

The Cyber Crime Solutions (CCS) team is part of Cyber Crime Defense (CCD). The Cyber Crime Sr. Specialist will be responsible for building and maintaining solutions to support cyber crime response and detection efforts and processes. The CCS team is responsible for data sourcing, automation, reporting, and forecasting, utilizing a variety of systems/platforms including, but not limited to Tableau, Alteryx, SQL and Hadoop. The candidate will perform a combination of functions including 1) data sourcing, automation, and ETL workflow builds, 2) performing analysis and creating reports utilizing latest technologies, and 3) uncover insights from data that can be used in detection and disruption of cyber crime. These solutions must overcome issues of complex data (e.g., VLDB, multi-structured, big data, etc.) as well as deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to deliver insights.

Successful candidate will lead or work independently on complex projects and influence strategic direction. Additional areas of focus include forecasting support, creating performance metrics and development of data quality controls. Other objectives include supporting the rollout of new projects, defining project requirements, monitoring development progress, and the assessment and development of tools to automate and streamline existing processes.

Responsibilities:

· Develop complex operational and executive dashboards.

· Design processes to support data extraction and transformation using tools.

· Enhance existing reports and processes to improve delivery time and accuracy.

· Create SQL logic to source data from various systems including Oracle, Teradata, SQL Server, and Hadoop.

· Gather and document business requirements for new projects.

· Identify OpEx and streamlining opportunities and escalate for addition to team backlog.

· Partner with other CCD teams to identify optimization opportunities.

· Work with leadership to maintain appropriate prioritization of concurrent ongoing projects in a changing environment.

· Identify data quality gaps and develop controls to mitigate.

· Collaborate and build relationships with cross-functional teams who supply required data for our processes.

· Complete required development testing to ensure data quality and accuracy.

Required Qualifications:

· 5+ years of Tableau

· 3+ years of Alteryx

· 3+ years of coding experience with SQL Server, Oracle, Hadoop, and Teradata systems

· Strong written and oral communication skills with broad business acumen

· Ability to manage multiple projects in a complex and rapidly-changing environment

· Excellent time management skills

· Ability to work independently as well as part of a team

· Strong analytical and problem-solving skills to effectively communicate with technical and non-technical audiences and quickly escalate any risks or challenges

Desired Qualifications:

· Proficient in Python

· Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes

· Bachelor’s degree, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance, or operations research.

Desired Skills:

· Business Analytics

· Business Intelligence

· Data Quality Management

· Fraud Management

· Monitoring, Surveillance, and Testing

· Collaboration

· Data Visualization

· Oral Communications

· Problem Solving

· Written Communications

· Analytical Thinking

· Critical Thinking

· Data and Trend Analysis

· Innovative Thinking

· Research

Shift:

1st shift (United States of America)

Hours Per Week:

40