Digital Software Engineer Lead Analyst

CitiIrving, TX
$157,300 - $192,500Hybrid

About The Position

Citibank, N.A. seeks a Digital Software Engineer Lead Analyst for its Irving, Texas location. Duties: Establish and implement financial application systems and programs for personal banking purposes. Conduct feasibility studies, time and cost estimation, IT planning, risk technology assessment, application development, and model creation. Lead the design and implementation of data strategies that align with business goals, including the development of scalable software solutions and micro-services. Collaborate with cross-functional teams including engineering, product management, and business stakeholders to understand business requirements and deliver end-to-end software solutions. Apply advanced statistical methods, machine learning algorithms, and predictive modeling techniques to uncover patterns and generate insights from large datasets, while integrating these models into robust software applications. Design, develop, and validate machine learning models to solve business problems, and integrating them into the enterprise systems. Create product technical documentation with functional specifications, high level and low-level design for traceability. Lead end-to-end projects, including scoping, resource and infrastructure planning, execution, and delivery of software development projects. Conduct Automated Test-Driven development, support user acceptance testing, deployment of software solutions and provide maintenance support postproduction deployment. Lead the defect triage process with Quality Assurance and User Acceptance Testing teams during respective phases. Set up and configure infrastructure needed for software solutions by collaborating with respective support teams. Experiment with new algorithms, models and analytical frameworks to drive innovation and improve existing processes. Translate complex data insights into easy-to-understand dashboards and visualizations for business and developing web-based applications and APIs to provide real-time data access and visualization. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements

  • Requires a Bachelor’s degree, or foreign equivalent, in Computer Science, Electronic Engineering, or related field and 4 years of progressively responsible, post-baccalaureate experience as a Software Developer, Software Engineer, Digital Software Engineer Senior Analyst, or related position developing banking applications for use at financial services institutions.
  • 4 years of experience must include: Java, Python, Spring Boots programming and Microservices implementation; Applying advanced software engineering algorithms to solve complex problems and optimize software performance; Designing, implementing, and maintaining robust software solutions.
  • At least 3 years of experience must include: Data Science tools including numphy, pandas, scikit learn, langchain, langgraph to analyze data, build models, and derive actionable insights; Optimizing databases, ensuring efficient data storage, retrieval and integrity.

Responsibilities

  • Establish and implement financial application systems and programs for personal banking purposes.
  • Conduct feasibility studies, time and cost estimation, IT planning, risk technology assessment, application development, and model creation.
  • Lead the design and implementation of data strategies that align with business goals, including the development of scalable software solutions and micro-services.
  • Collaborate with cross-functional teams including engineering, product management, and business stakeholders to understand business requirements and deliver end-to-end software solutions.
  • Apply advanced statistical methods, machine learning algorithms, and predictive modeling techniques to uncover patterns and generate insights from large datasets, while integrating these models into robust software applications.
  • Design, develop, and validate machine learning models to solve business problems, and integrating them into the enterprise systems.
  • Create product technical documentation with functional specifications, high level and low-level design for traceability.
  • Lead end-to-end projects, including scoping, resource and infrastructure planning, execution, and delivery of software development projects.
  • Conduct Automated Test-Driven development, support user acceptance testing, deployment of software solutions and provide maintenance support postproduction deployment.
  • Lead the defect triage process with Quality Assurance and User Acceptance Testing teams during respective phases.
  • Set up and configure infrastructure needed for software solutions by collaborating with respective support teams.
  • Experiment with new algorithms, models and analytical frameworks to drive innovation and improve existing processes.
  • Translate complex data insights into easy-to-understand dashboards and visualizations for business and developing web-based applications and APIs to provide real-time data access and visualization.

Benefits

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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