Sr. Full Stack Developer

We are seeking a developer with strong analytical instincts to work at the intersection of AI, application development, and financial services. The ideal candidate thrives in ambiguous environments, enjoys solving complex problems involving financial and business data, and is excited about applying emerging analytics and AI technologies to real-world challenges.

In this role, you will partner closely with client-facing business teams and contribute across the full software development lifecycle, including prototyping, design, development, testing, deployment, and ongoing support. This is a highly visible position with opportunities to deliver impactful solutions for engaged stakeholders.

Key Responsibilities

• Design, develop, and deploy applications and analytics solutions that support business and client-advisory workflows, with a focus on making data more accessible and actionable.
  
  
• Develop subject matter expertise in key business processes and data domains, translating business needs into scalable technical solutions.
  
  
• Evaluate technical feasibility and make informed decisions regarding architecture, tools, and implementation approaches.
  
  
• Design and maintain well-structured datasets, semantic layers, and analytics assets that empower business users to perform self-service analysis.
  
  
• Own data quality, reliability, documentation, and maintainability for analytics products and data pipelines.
  
  
• Identify opportunities to leverage AI and advanced analytics technologies to improve workflows, productivity, and decision-making.
  
  
• Collaborate with technical and non-technical stakeholders to deliver solutions aligned with business objectives.

Qualifications

• 5+ years of experience in software engineering, analytics engineering, data science, or data-intensive application development.
  
  
• Demonstrated track record of designing, building, and deploying production-grade applications and data products.
  
  
• Proficiency in one or more programming languages such as Python, JavaScript/TypeScript, Julia, or R.
  
  
• Experience with at least one major cloud platform (Azure, AWS, or Google Cloud Platform).
  
  
• Experience with source control and CI/CD practices using tools such as GitHub, Azure DevOps, or similar platforms.
  
  
• Strong SQL skills and experience working with data warehouses, analytical databases, or modern data platforms.
  
  
• Understanding of data modeling principles and experience transforming raw data into clean, structured datasets for analytics and reporting.
  
  
• Strong communication and collaboration skills, including the ability to work effectively with business stakeholders.

Preferred Qualifications

• Experience with cloud-native AI services, serverless technologies, or managed application platforms.
  
  
• Experience integrating large language model (LLM) APIs into production applications, workflows, or data products.
  
  
• Familiarity with enterprise business platforms such as IT service management, workforce planning, ERP, or workflow automation systems.
  
  
• Prior experience in financial services, investment banking, consulting, or another data-intensive industry.
  
  
• Understanding of business workflows involving client advisory services, financial reporting, or operational analytics.
  
  
• Experience using AI-assisted development tools as part of a modern software engineering workflow.

Compensation: Up to $175,000 annually
Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.