Client Quantitative Analyst I

Bank of America•Fort Worth, TX

3d•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. This job is responsible for supporting analytical work efforts for a Line of Business or business discipline. Key responsibilities include acquiring, integrating, and analyzing client and performance data, transforming data into meaningful insights, and communicating findings that support business decision-making. Job expectations include partnering with business stakeholders to understand priorities, supporting analytical projects, and delivering accurate, actionable information through data-driven analysis.

Requirements

2+ years of demonstrated experience in analytics, quantitative research, data science, or a related field.
Experience using analytical and programming tools such as SQL, Python, and AI coding agents.
Experience extracting, integrating, and manipulating structured and unstructured data from multiple database platforms and data environments, including Hadoop.
Strong analytical and problem-solving skills with the ability to translate data into actionable business insights.
Strong written, verbal, and presentation skills, with the ability to clearly communicate complex analytical concepts and findings to both technical and non-technical audiences.
Ability to collaborate effectively with business partners, analysts, and technology teams in a fast-paced, highly regulated environment.

Nice To Haves

Bachelor’s Degree or higher in a quantitative, analytical, business, or technical discipline, or equivalent experience applying data, analytics, and quantitative problem-solving skills.
Knowledge of advanced analytical techniques, including statistical sampling, optimization, machine learning, predictive modeling, artificial intelligence, and related quantitative methods.
Broad understanding of financial products and experience supporting highly regulated initiatives within a large, complex financial institution.
Experience gathering, documenting, and communicating business requirements between business stakeholders, technology product owners, and engineering teams.
Effective prioritization, time management, and project management skills.
Demonstrates intellectual curiosity and a commitment to continuous learning.
Brings innovative ideas and diverse perspectives to drive creative problem-solving and business improvement.
Values diversity and inclusion and fosters a collaborative team environment that supports the needs of clients, employees, and communities.

Responsibilities

Supports analytical projects by researching data sources, executing established methodologies, and delivering results according to defined requirements and timelines.
Extracts, prepares, validates, and manages data using analytical tools and programming languages such as SQL, SAS, and Python.
Integrates and transforms data from multiple internal and external sources utilizing technical, business, and process knowledge to create reliable datasets and meaningful business insights.
Performs quantitative analyses on client, transaction, and performance data to identify trends, answer business questions, and support informed decision-making under the guidance of senior analysts and managers.
Communicates analytical findings and recommendations effectively to technical and non-technical audiences through presentations, reports, dashboards, and other business communications using tools such as PowerPoint, Word, Excel, and Tableau.
Performs quality assurance and validation reviews on analytical outputs, identifies data quality issues, and escalates concerns as appropriate.
Adheres to established governance, documentation, and quality-control standards to support auditability, consistency, business continuity, and regulatory compliance.
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