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Lead Software Engineer for Financial Analytics

2 months ago

San Jose, California, United States BDO Full time

Position Summary:

The Senior Software Engineer for Valuation & Capital Market Analysis plays a crucial role within the Data Science division. This position is dedicated to developing Python-based models and the necessary infrastructure to optimize the creation and implementation of diverse models at scale, significantly enhancing client decision-making capabilities. This role requires effective collaboration with business analysts, data specialists, and fellow software engineers to produce software solutions within BDO's technological framework, necessitating both independent initiative and collaborative teamwork.

Core Responsibilities:

  • Design and implement data pipelines and engineering frameworks for model management systems.
  • Work alongside data scientists and engineers to identify new data sources and craft model features.
  • Utilize software engineering best practices in the development of statistical and mathematical models.
  • Ensure model lifecycle development emphasizes auditability and data protection.
  • Engage in the design, development, and deployment of high-quality production code for software applications.
  • Support the development and implementation of machine learning solutions.
  • Develop reusable libraries to accelerate client solution delivery.
  • Promote modern software development methodologies to both technical and business stakeholders.
  • Oversee the complete software development lifecycle, including architecture design, testing, and troubleshooting.
  • Create standardized application frameworks for various software applications.
  • Contribute to brainstorming sessions aimed at innovative problem-solving approaches.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Sciences, or Econometrics.
  • Master's degree is preferred.
  • A minimum of 3 years of experience in Python development, particularly with Microsoft Azure services.
  • Familiarity with Azure DevOps and CI/CD pipeline methodologies.
  • Hands-on experience in constructing data lakes and managing unstructured data sources.
  • Proficient in Agile/Scrum practices and the Software Development Life Cycle.
  • Prior experience in the financial services sector and cloud-native environments.

Technical Skills:

  • Expertise in Azure SQL Database, Azure Synapse Analytics, Azure Blob Storage, and associated technologies.
  • Experience with data orchestration tools such as Azure Data Factory and Apache Airflow.
  • Strong software engineering capabilities with a focus on Python.
  • Familiarity with machine learning frameworks and front-end technologies.
  • Exceptional problem-solving and communication abilities.
  • A commitment to continuous learning and professional development.

Compensation is determined based on various factors, including qualifications, experience, and geographical considerations.