Summary
✨ AI‑Generated
Join a senior engineering team modernizing critical investment analytics and research workflows with cloud-native, AI-enabled applications. You will build full-stack systems using Python and AWS, collaborate closely with quantitative specialists and portfolio professionals, and deliver technology with broad organizational impact.
Highlights
Senior engineering opportunity on a greenfield modernization effort, combining Python, AWS, AI-enabled capabilities, cloud-native development, and direct collaboration with quantitative research and portfolio teams.
Description
Senior Software Engineer (Portfolio Analytics, Python, AWS) | Quant Investment Firm
One of the top Quant Investment Firms globally has an exciting opportunity for a Senior Software Engineer to join a high profile, business critical team that works directly with their world-class quant researchers and portfolio managers.
This role will join a greenfield modernization effort focused on building cloud native applications and platforms with AI enabled capabilities.
These systems are critical parts of the workflow for investment analytics, research, and portfolio management teams.
This is a rapidly growing firm that's had exceptional performance over the past decade.
They're a heavily engineering driven firm with a highly collaborative, team-first culture.
Great opportunity to work with a modern, evolving tech stack to use AI and build full-stack, cloud native solutions that have direct visibility and impact across the entire firm!
Responsibilities:
Design, build, and enhance middle-tier application services supporting investment analytics workflowsPartner closely with portfolio managers, analysts, researchers, and business users to translate requirements into robust, scalable technical solutionsDevelop scalable tools and services for processing, analyzing, and delivering large-scale investment dataBuild and improve full-stack web applications used by internal investment and analytics teamsContribute to the architecture and long-term evolution of a modern, cloud-based platformImprove installation, deployment, testing, and CI/CD pipelines using containerization and infrastructure-as-code tools (e.g., Docker, Kubernetes, Terraform)Use Python, C#, and related technologies to automate workflows and build robust, production-quality analytical applications
Qualifications:
Bachelor's or Master’s degree in Computer Science (or similar field)4+ years of professional programming experience with PythonExperience building applications on AWS (cloud native is a plus)Experience with React or other similar modern, frameworks
Benefits:
Industry leading compensation and benefitsHybrid flexibility in Boston officeChance to join a high-visibility and impact engineering team building business-critical investment analytics and portfolio management technology used across the firm
