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Client Quantitative Analyst I

Bank of America
Client Quantitative Analyst I
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Job Description

Job Description:

_ About Us:_

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

_ Job Description:_

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 in order 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 emphases is on effectively and accurately using data to drive operations and compliance.

What will your main responsibilities include?

Key Job responsibilities include:

  • Building relationships to facilitate cross-functional collaboration including GBAM Sales COOs, Refresh Operations, Global Financial Crimes, Risk & Compliance, Technology, as well as external consultants

  • Analyzing problems and identifying both tactical and strategic solutions; formulating multi-generational plans

  • Managing an initiative from end-to-end starting with understanding the business need, gathering requirements, setting expectations, analyzing the data, and delivering the final solution; with transparency throughout

  • 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

  • Turning that data into insights in order to ‘tell the story’ and present findings to various levels of the organization, including senior management and risk leaders

  • Monitoring and testing the effectiveness of key controls and status of mitigation and/or action plans

  • 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 Skills:_

  • Bachelor’s degree in a quantitative field (e.g. Marketing, Statistics, Mathematics, Engineering or Economics)

  • 2-5+ years of experience as Data Analyst, or similar role in financial services industry

  • 4+ years demonstrating strong proficiency in utilizing data mining/analytics tools such as Toad, Teradata SQL Assistant, Microsoft SQL Server, SAS

  • Well versed in business analysis via Excel-based analytics, e.g. External Links, V-Lookups & Pivot Tables

  • Strong interpersonal and overall communication skills (written and verbal)

  • Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight

  • Must be flexible and have experience working in a fast paced & high pressure environment; managing multiple projects at once

Desired Skills:

  • Solid understanding and proficiency of BI tools like Tableau & Alteryx

  • Python/R knowledge

  • Knowledge of AML and/or GBAM businesses


1st shift (United States of America)

**Hours Per Week: **


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