Bank Of America Client Quantitative Analyst - Consumer Anti-Money Laundering 

United States, North Carolina, Charlotte 

443373863

Job Description:

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 Client Quantitative Analyst position is within the Client Protection organization supporting functions, including Fraud Prevention and Detection, Anti-Money Laundering (AML), Sanctions and Screening Compliance. A quantitative mind, natural curiosity and a desire to challenge the status quo while keeping an eye toward the big picture are key requirements.

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. You will interact with a wide variety of stakeholders in Client Protection and you will be expected to:

• Effectively communicate quantitative concepts to both technical and non-technical stakeholders

• Apply a creative and innovative mindset to solve complex problems

As a Client Quantitative Analyst in Client Protection, your main responsibilities will involve:

• Applying quantitative methods to further analytical capabilities that support Consumer Banking’s BSA/AML compliance programs

• Maintaining and continuously enhancing these capabilities over time to respond to the changing nature of risks, economic conditions and evolving client behavior

• Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, and technology

• Independently conducting quantitative analytics and developing new innovative analytic processes when needed

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

Required Qualifications:

• 2+ years of experience in applied data science, quantitative research or related role including projects

• Strong programming skills e.g. Python, SAS, SQL or other languages

• Strong analytical and problem-solving skills

• Experience extracting and merging data from different database environments, including Hadoop

• Ability to manipulate data from structured and unstructured sources

• Ability to work effectively in a fast-paced high-consequence environment

Desired Qualifications:

• Believes in value of diversity so we can reflect, connect and meet the diverse needs of our clients and employees around the world

• Strives to bring new thoughts and ideas to teams in order to drive innovation and unique solutions

• Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics

• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences

• Effective at prioritization/time and project management

• Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution

• Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques

Skills:

• Business Analytics

• Data Mining

• Data and Trend Analysis

• Analytical Thinking

• Business Intelligence

• Data Quality Management

• Data Visualization

• Application Development

• Business Acumen

• Continuous Improvement

• Innovative Thinking

• Quality Assurance

1st shift (United States of America)