Associate Software Engineer--Python & Data Analytics
Truist Financial Corporation1 day ago
Richmond, VA, USA or Charlotte, NC, USAMid Level
Base Salary
$90k - $120k/yr
Responsibilities
- Design, develop, test, and maintain Python applications, data pipelines, analytics routines, dashboards, and reporting solutions.
- Acquire, cleanse, transform, reconcile, and analyze brokerage data from internal and external sources.
- Create reusable analyses and data products for monitoring performance, service levels, exceptions, risk indicators, and operational trends.
- Translate business requirements from Brokerage stakeholders into scalable, reliable, and well-controlled technical and analytical solutions.
- Apply modular design, source control, peer review, automated testing, documentation, and secure development practices.
- Implement data-quality checks, lineage, reconciliation, exception handling, and audit-ready controls.
- Troubleshoot data defects, production incidents, performance issues, and analytical discrepancies and perform root-cause analysis.
- Participate in requirements refinement, solution design, development, testing, deployment, production support, and continuous improvement.
- Integrate Python and analytics solutions with enterprise platforms, APIs, databases, file-transfer mechanisms, and workflow tools.
- Communicate findings, risks, dependencies, and recommendations to technical and non-technical stakeholders.
Requirements
- Bachelor’s degree and 3 years of experience, or equivalent education, software engineering training, or work-related experience.
- In-depth knowledge of information systems and the ability to apply IT best practices.
- Understanding of business processes and competitive strategies related to the IT function.
- Experience supporting Brokerage, broker-dealer, wealth management, capital markets, or financial-services operations is preferred.
- Knowledge of brokerage data and concepts such as accounts, securities, positions, trades, products, fees, suitability, supervision, and regulatory reporting is preferred.
- Experience with Python data and analytics libraries such as pandas, NumPy, or PySpark is preferred.
- Experience developing dashboards, operational reporting, or data visualizations with Power BI or Tableau is preferred.
- Experience with Microsoft Power Platform, SharePoint, or Salesforce is preferred.
- Experience integrating low-code solutions with APIs, databases, enterprise data platforms, or workflow processes is preferred.
- Experience with cloud data platforms, distributed processing, enterprise analytics environments, Git-based source control, automated testing, and open-source tools is preferred.
- Familiarity with financial-services controls, data governance, privacy, risk management, and applicable regulatory requirements is preferred.
Benefits
- Eligible regular teammates working 20 or more hours per week may receive medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401(k) plan.
- Benefits may also include at least 10 days of first-year vacation, 10 sick days, and paid holidays, prorated as applicable.
- Depending on the position and division, benefits may include a defined benefit pension plan, restricted stock units, and/or deferred compensation.
- This is a regular, non-temporary position on the first shift in the United States.
About Truist Financial Corporation
Truist Financial Corporation provides consumer, small‑business, and commercial banking, plus capital markets, payments, mortgage, and wealth management services across the U.S. It earns interest and fee income from deposits, lending, investment banking, and advisory services delivered through Truist Bank and affiliates. The company was formed in 2019 by the merger of BB&T and SunTrust Banks and is headquartered in Charlotte, North Carolina; it is publicly traded on the NYSE (ticker: TFC).