Truist
Truist
Truist एक वित्तीय सेवा कंपनी है, जो शाखा बैंकिंग, वाणिज्यिक बैंकिंग, कॉर्पोरेट और संस्थागत बैंकिंग, बंधक ऋण तथा उपभोक्ता ऋण के माध्यम से ग्राहकों की सेवा करती है। इसका काम व्यक्तियों, व्यवसायों और संस्थानों की वित्तीय जरूरतों को पूरा करता है और कंपनी देखभाल, विविधता, समावेशन तथा समुदाय पर प्रभाव पर ध्यान केंद्रित करती है। Truist अपनी बैंकिंग और वित्तीय सेवाओं से जुड़ी गतिविधियों में करियर के अवसर प्रदान करती है तथा कर्मचारी विकास, कार्यस्थल में समानता और कल्याण को समर्थन देने वाले संसाधनों को महत्व देती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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