Senior Software Engineer – AI for Investments (Remote 1 Day)

Wellington Management; Boston (MA); Hybrid; USD 90,000 - 180,000; Full time

Benefits offered by this job

Hybrid work schedule

Retirement plan

Health and wellbeing benefits

Dental, vision, and pharmacy coverage

Health savings account

Commuter program

Tuition/CFA reimbursement

Paid time off

Job summary

Wellington Management seeks a Senior Software Engineer to join the Investor Modeling team in Boston. You will shape technical direction across Python-based modeling services and dashboards, mentor engineers, and elevate the stack with AI-assisted development.

You will collaborate with business analysts and investment professionals, deliver full-stack solutions, and reinforce architecture, testing, and data access libraries while maintaining production systems.

Qualifications

• 7+ years designing and developing software solutions.
• Experience with SDLC tooling — JIRA, Git, CI/CD (Jenkins / GitHub Actions), and cloud platforms (AWS); demonstrated use of AI-assisted development tools (e.g., GitHub Copilot, Claude Code) in daily workflows, with hands-on GenAI development experience a strong plus.
• Proficiency in Python, with hands-on experience in data-oriented libraries such as pandas and NumPy, SQLAlchemy (or a similar ORM), and a plotting/visualization library (e.g., Bokeh); comfortable ramping up on an internal Python dashboard framework and internal data-access libraries as part of onboarding
• Experience providing technical leadership - e.g., leading architecture or design discussions, evaluating/standardizing libraries and frameworks, or mentoring engineers
• Experience building and maintaining production front-end applications using React, HTML, CSS, including consuming GraphQL and/or REST APIs
• Experience writing SQL and working with relational databases (PostgreSQL, Oracle); experience with NoSQL databases (MongoDB, DocDB)
• Experience working in a DevOps environment
• Experience with Agile methodologies and modern software development and testing practices
• Excellent written and verbal communication skills, with the ability to communicate effectively across technical and non-technical audiences and strong follow-through
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively, manage competing priorities, and deliver in a fast-paced, business-critical environment
• Prior experience in the financial services or asset management industry
• BS or BA degree in Computer Science, Engineering, Mathematics, Economics, or a related field, or equivalent practical experience

Responsibilities

• Design, develop, test, deploy, and support investment modeling applications across the full stack (services, web, infrastructure, back-end), prototyping new components and optimizing existing systems for performance and maintainability
• Set technical direction for the team's Python and dashboard stack, including evaluating, standardizing, and recommending libraries, frameworks, and tooling
• Lead design reviews and provide architectural guidance to other engineers on the team
• Integrate AI-driven capabilities into investment applications to improve workflows and decision-making
• Partner with business analysts, QA engineers, and investment professionals across the requirements, testing, and user acceptance lifecycle
• Manage and communicate delivery timelines, providing status updates and proactively escalating risks
• Author and maintain technical design and support documentation
• Support production systems through data quality checks, alerting, and on-call participation

Skills

Python

React

SQL

Git

JIRA

CI/CD

GenAI development

Education

BS or BA in CS/Engineering/Math/Economics or related field

Tools

Git

Jenkins

GitHub Actions

AWS

PostgreSQL

MongoDB

Job description

Wellington Management seeks a Senior Software Engineer to join the Investor Modeling team in Boston. You will shape technical direction across Python-based modeling services and dashboards, mentor engineers, and elevate the stack with AI-assisted development.

You will collaborate with business analysts and investment professionals, deliver full-stack solutions, and reinforce architecture, testing, and data access libraries while maintaining production systems.