Client Quant Analyst I - GBGM AML Data Analytics & Reporting

Job Description:

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 a diverse and 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.

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

Job Description:
This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.

The Global Banking & Markets Anti-Money Laundering (GBAM AML) organization is a central control function which governs, facilitates, and oversees the global end-to-end GBAM AML program across all GBAM businesses and jurisdictions through the implementation of processes and controls to effectively managing AML and economic sanctions risks. The team performs AML Know-Your-Client/Client Due Diligence (KYC/CDD) and covers refresh (periodic review) as its core activity. Additionally, there is a dedicated team responsible in reaching out to clients for KYC/CDD documentations to fulfil its due diligence requirements. The team also covers internal/external audits and remediation of AML KYC/CDD of bank clients. 

One of the key requirements of the GBAM AML Data Analytics & Reporting team is to create sophisticated, value-added analytics and reporting solutions that support operational efficiency & regulatory compliance in the Anti-Money Laundering and Know Your Customer space.  The emphasis is on effectively and accurately using data to drive operations and compliance.

Responsibilities:

• Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
• Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
• Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions.
• Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
• Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
• Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
• Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity
• Building relationships to facilitate cross-functional collaboration including GBAM Sales COOs, Refresh Operations, Global Financial Crimes, Risk & Compliance, Technology, as well as external consultants.
• Navigating multiple data environments and utilizing different analytics tools in order to transform data into actionable, data-driven solutions.
• Understanding relational databases containing customer, associate, product, and transaction data. 
• Adherence to a strong risk culture, including champion/challenger roles, peer reviews, change management discipline, standardization of processes, and rigorous documentation.
• Striving for continuous process improvement through standardization and automation to reduce errors and increase efficiency.

Required Qualifications:

• 2+ years of experience as Data Analyst, or similar role in financial services industry
• 2+ years demonstrating strong proficien