Client Quantitative Analyst I

Bank of America•Addison, IL

1d•Onsite

About The Position

The Client Quantitative Analyst I supports analytical initiatives and reporting projects within a line of business or business discipline. The role extracts, integrates, analyzes, and transforms customer, transactional, operational, and performance data from multiple sources into metrics, insights, recommendations, and business intelligence solutions. It uses analytical programming languages and tools, including SAS, JavaScript, Alteryx, Python, SQL, Tableau, Power BI, and related technologies, across relational and non-relational databases and on-premises, cloud-based, or hybrid environments. The analyst partners with business stakeholders, analysts, and leadership to understand requirements and priorities, conduct research, and deliver accurate reporting and analytical solutions. Responsibilities include developing, maintaining, automating, and enhancing dashboards and reports; validating and reconciling data; communicating findings to technical and non-technical audiences; and supporting identification and mitigation of data and reporting risks. The role follows documentation, governance, quality assurance, and data management standards and contributes to continuous improvement, scalability, and business continuity. Some quantitative work and research are performed with guidance from other analysts and supervisors. Bank of America describes its workplace as committed to an in-office culture that supports collaboration, engagement, and career development, with flexibility based on role responsibilities and business needs. The stated schedule is first shift, 40 hours per week.

Requirements

At least 1 year of experience as a data analyst, in process or project management, or in a similar role in the financial services industry.
Bachelor’s degree or higher in finance, mathematics/statistics, computer science, or another quantitative field such as engineering or operations management.
Coursework in finance, mathematics/statistics, and/or computer science.
Ability to use data tools and techniques to find and deliver data from various sources of record.
Proven communication skills, including the ability to explain complex data and inform strategic insights and decisions.
Strong technical knowledge of reporting and analytics tools, including JavaScript, Tableau, PowerShell, SQL, Alteryx, Python, PowerQuery, VBA, PySpark, and SharePoint On-premises or SharePoint Online.
Ability to collaborate with team members, customers, and subject matter experts to clarify requirements and complete user acceptance testing.
Ability to interpret large amounts of data, synthesize multiple analyses into a coherent message, and translate results into actionable insights.
Ability to manage multiple priorities and meet project delivery dates.
Effective oral and written communication skills to influence outcomes with team members and customers.
Ability to work independently and on teams, delivering work on time and accurately.
Ability to create, review, and monitor requirements documents for repeatability, business continuity, governance, and audit needs.

Nice To Haves

Master’s degree or higher in finance, mathematics/statistics, computer science, or another quantitative field such as engineering or operations management.
Knowledge of agile methodology.
Business understanding of Global Operations.
Bachelor’s degree in analytics, data science, or computer science, or equivalent experience.

Responsibilities

Extract, integrate, and analyze data using programming languages and analytical tools such as SAS, JavaScript, Alteryx, Python, SQL, Tableau, and Power BI, working with relational and non-relational databases across on-premises and cloud or hybrid environments.
Connect data from multiple sources and transform it into meaningful metrics, insights, and business intelligence solutions using technical, business, and process knowledge.
Analyze customer, transactional, operational, and performance data to identify trends, opportunities, risks, and actionable recommendations.
Partner with stakeholders, analysts, and leadership to understand reporting requirements and priorities, conduct research, and deliver accurate analytical solutions.
Communicate complex findings clearly to technical and non-technical audiences through presentations, reports, dashboards, and visualizations.
Develop, maintain, enhance, and automate reporting and dashboard solutions that provide timely and actionable insights.
Perform data validation, quality assurance, and reconciliation; identify and escalate data inconsistencies, gaps, or issues.
Support the identification, assessment, and monitoring of data and reporting risks and the development of mitigation strategies and controls.
Follow development, governance, documentation, workflow, and quality assurance standards to support business continuity, regulatory compliance, and operational excellence.
Contribute to improving reporting processes, automation, and analytical methods to increase efficiency, scalability, and business value.
Perform quantitative analysis and research using appropriate data sources and requirements provided by business partners, analysts, and supervisors.
Collaborate with team members, customers, and subject matter experts to clarify requirements and complete user acceptance testing.
Create, review, and monitor requirements documentation to support repeatability, business continuity, governance, and audit requirements.
Stay current with Bank of America-approved software and applications.