Truist
Truist
Truist is a financial services company serving customers through branch banking, commercial banking, corporate and institutional banking, mortgage lending, and consumer lending. Its work spans the needs of individuals, businesses, and institutions, with a stated focus on care, diversity, inclusion, and community impact. Truist offers career opportunities across its banking and finance operations and highlights employee development, workplace equity, and resources that support wellbeing.

Associate Software Engineer, Python & Data Analytics

Build Python applications, data pipelines, and analytics solutions supporting Truist Brokerage operations. Deliver reliable, controlled technology for regulated financial-services workflows.

Description

  • Build, test, and maintain Python applications, data pipelines, analytics routines, and reporting solutions for Brokerage
  • Collect, cleanse, transform, reconcile, and analyze brokerage data from internal and external sources
  • Create reusable analyses, dashboards, and data products covering performance, service levels, exceptions, risk indicators, and operational trends
  • Convert business needs into technical and analytical solutions with Brokerage product, operations, data, risk, and technology partners
  • Use modular design, source control, peer review, automated testing, documentation, and secure-development practices
  • Establish data-quality checks, lineage tracking, reconciliations, exception handling, and audit-ready controls
  • Investigate data defects, production incidents, performance problems, and analytical discrepancies through root-cause analysis
  • Support requirements refinement, solution design, development, testing, deployment, production operations, and continuous improvement
  • Connect Python and analytics solutions with enterprise platforms, APIs, databases, file-transfer systems, and workflow tools
  • Present findings, risks, dependencies, and recommendations to technical and non-technical stakeholders

Requirements

  • Bachelor’s degree plus three years of experience, or equivalent education, software engineering training, or relevant work experience
  • Strong understanding of information systems and the ability to apply IT best practices
  • Understanding of IT-related business processes and competitive strategies
  • Experience supporting Brokerage, broker-dealer, wealth management, capital markets, or financial-services operations
  • Knowledge of brokerage concepts and data, including client and account records, securities, positions, balances, trades, transactions, products, fees, suitability, supervision, or regulatory reporting
  • Experience using Python data and analytics libraries such as pandas, NumPy, or PySpark
  • Experience creating dashboards, operational reports, or data visualizations with Power BI or Tableau
  • Experience with Microsoft Power Platform, SharePoint, or Salesforce
  • Experience connecting low-code solutions to APIs, databases, enterprise data platforms, or workflow processes
  • Experience with cloud data platforms, distributed processing, or enterprise analytics environments
  • Experience with Git-based source control, continuous integration and delivery, automated testing, and open-source tools or frameworks
  • Familiarity with financial-services controls, data governance, privacy, risk management, and regulatory obligations
  • Unrestricted, permanent U.S. work authorization; visa sponsorship and immigration-related support are not available
  • Fluent English required

Benefits

  • Medical insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • Life insurance coverage
  • Disability insurance coverage
  • Accidental death and dismemberment coverage
  • Tax-advantaged savings accounts
  • 401(k) plan
  • At least 10 vacation days during the first year, prorated
  • 10 sick days, prorated
  • Paid holidays
  • Defined benefit pension plan, depending on position and division
  • Restricted stock units, depending on position and division
  • Deferred compensation plan, depending on position and division

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