Software Engineer

Overview

This is an onsite full-time opportunity in Stamford, Connecticut for a Software Engineer to help build and improve software used for investment research and risk management.

You will join a small engineering environment with direct access to decision-makers, meaningful ownership from day one, and the chance to build new products rather than only maintain existing systems.

What You'll Be Doing

• Maintain and improve full-stack applications supporting investment research and risk management
• Build new internal tools and workflows from scratch
• Develop modern web applications using TypeScript, React and Next.js
• Use Python for scripting, automation and data-related workflows
• Design and query relational databases using production-quality SQL
• Build AI-enabled automations using platforms such as OpenAI and Anthropic
• Take responsibility across design, development, deployment and production support

What You'll Need to Succeed

• 2-7 years' professional full-stack software development experience
• Strong TypeScript and React experience, ideally including Next.js
• Practical experience reading and writing Python for scripting or automation
• Strong relational database and SQL skills
• Experience owning production software across both frontend and backend development
• An undergraduate degree in Computer Science with a GPA above 3.0
• Willingness to work onsite in Stamford five days per week

Nice to Have

• Experience with tRPC, Prisma or a comparable modern TypeScript stack
• Exposure to OpenAI, Anthropic or other LLM APIs
• Experience building agentic workflows or AI-enabled automation
• AWS, Bash, CI/CD or Airflow experience
• A background or demonstrated interest in finance, fintech, investment research or quantitative systems

What's In It for You

• Competitive base salary of $160k-$230k plus discretionary bonus
• Significant ownership from day one
• Direct exposure to investment research and quantitative workflows
• Opportunity to build new products rather than only maintain existing systems
• Practical AI engineering using modern LLM APIs
• A small team with direct access to decision-makers and minimal bureaucracy

Why This Role

This is a strong opportunity for an engineer who wants to stay hands-on while gaining genuine exposure to the investment industry.

You will work on software that directly influences how research is conducted and risk is understood, with the autonomy to shape both existing systems and entirely new products.