FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Client Quantitative Analyst I
Bank of America. Extract, integrate, and analyze customer, transactional, operational, and performance data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical capabilities with proficiency in data extraction, integration, and analysis to deliver actionable insights. Skilled in utilizing various data tools and techniques, along with effective communication of complex findings to support strategic decision-making.
Highest-signal resume keywords
Data AnalysisSQLTableauPythonCommunication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ExtractionQuantitative AnalysisData ValidationData ManagementReporting AutomationData TransformationRisk Mitigation StrategiesQuality AssuranceAgile MethodologyStatistical Analysis
Soft Skills
CollaborationOral CommunicationWritten CommunicationTime ManagementProblem-Solving
Tools & Technologies
JavaScriptPowerShellAlteryxPowerQueryVBAPySparkSharePoint On-PremisesSharePoint Online
Industry Keywords
Financial ServicesData GovernanceOperational MetricsPerformance DataContinuous Improvement
Tech Stack
Tools & technologiesCloudJavaScriptPySparkPythonSQLTableauVBA
About the role
Key responsibilities & impact- Extract, integrate, and analyze customer, transactional, operational, and performance data
- Connect and consolidate data from multiple sources and transform raw data into meaningful metrics and insights
- Perform quantitative analysis to identify trends, opportunities, risks, and recommendations
- Partner with business stakeholders, analysts, and leadership to understand requirements and deliver analytical solutions
- Communicate complex analytical findings through presentations, reports, dashboards, and visualizations
- Design, develop, automate, maintain, and enhance reporting and dashboard solutions
- Conduct data validation, quality assurance, reconciliation, and comparison checks
- Identify and escalate data issues, inconsistencies, gaps, and reporting risks
- Support development of risk mitigation strategies and controls
- Follow development, governance, documentation, workflow, and quality assurance standards
- Contribute to continuous improvement of reporting processes, automation capabilities, and analytical methodologies
- Support research, analytics, exploration, and deliverables under guidance from analysts and supervisors
- Translate technical results into business context to support strategic and operational decisions
Requirements
What you’ll need- Ability to use data tools and techniques to find and deliver data from various sources of record
- Proven communication skills describing complex data to inform strategic insights and decisions
- Bachelor’s Degree or higher in finance, math/statistics, computer science, engineering, operations management, or another quantitative field
- Coursework in finance, math/statistics and/or computer science
- Minimum 1 year experience as Data Analyst, Process/Project Management, or similar role in financial services industry
- Ability to collaborate with team members, customers, and subject matter experts
- Ability to interpret large amounts of data, synthesize analyses, and translate findings into actionable insights
- Ability to manage multiple priorities and meet project delivery dates
- Oral and written communication skills
- Proficiency in independent work and team projects
- Ability to create, review, and monitor requirement documents
- Strong technical knowledge of JavaScript, Tableau, PowerShell, SQL, Alteryx, Python, PowerQuery, VBA, PySpark, SharePoint On-Premises, and SharePoint Online
- Knowledge of relational and non-relational databases across on-premises and cloud-based environments
- Knowledge of quality assurance, governance, documentation, and data management standards
- Desired: knowledge of agile methodology and Global Operations
- Desired: Master’s Degree or higher in a quantitative field
- Desired: Bachelor’s in Analytics, Data Science, Computer Science, or equivalent experience
Benefits
Comp & perks- Affordable, competitive, and flexible benefits
- Support for physical, emotional, and financial wellness
- Opportunities to learn, grow, and build a career
- In-office culture supporting collaboration, engagement, and career development