Global AML Operations - Client Quantitative Analyst I

Bank of America•Fort Worth, TX

4d•Onsite

About The Position

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.

Requirements

Ability to use data tools and techniques to find and deliver data from various sources of record
Proven communications skills in describing complex data to inform strategic insights and decisions
Bachelor’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
Coursework in finance, math/statistics and/or computer science
2+ years of experience in applied data science or quantitative research or related role
Strong analytical and problem-solving skills
Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics to a non-technical audiences
Ability to manipulate data from structured and unstructured sources
Experience extracting and merging data from different database environments, including Hadoop
Ability to work effectively in a fast-paced high-consequence environment

Nice To Haves

Master’s Degree or higher in finance, math/statistics, computer science or another quantitative field (for example, engineering, operations management)
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
Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques
Effective at prioritization/time and project management
Broad understanding of financial products and experience supporting highly regulated initiatives in a large complex financial institution
Experience gathering and communicating business requirements between technology product owners and engineering teams

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
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
Applying quantitative methods to further analytical capabilities that support 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