Founding Senior Software Engineer

Overview

Quant Link is a financial technology company building data and analytics tools for public equity markets. We use modern software engineering, machine learning, and quantitative research to help investors understand how companies and stocks have behaved historically under different conditions. Our platform focuses on:

• Organizing and analyzing large sets of technical, fundamental, and price-based data
• Providing transparent, evidence-based analytics and tools
• Supporting investors and professionals in making more informed, data-driven decisions

As an early-stage company, we work in a focused, collaborative environment where people can take real ownership of their projects and see their work used in production.

We are looking for a Founding Software Engineer to be one of the earliest technical hires on the team. This is a full-time role based in Minneapolis, MN
, with a hybrid work arrangement (a mix of in-office and remote work). You will have ownership across a Next.js frontend and a Python (FastAPI) backend. You’ll work directly with the founder/CEO and collaborate closely with product, data science, and engineering to build, ship, and operate core parts of the platform.

• Build world class product features using Next.js, Type Script, React, and Python
• Build responsive, high-quality mobile and desktop user experiences
• Design and implement complex charts, tables, and data visualizations that make large financial datasets intuitive and usable
• Design and maintain backend APIs and services using FastAPI
• Own subscription, billing, and payments flows
• Implement secure authentication, authorization, and server-side feature access
• Own deployments, CI/CD pipelines, and production workflows using Docker
• Write production-quality code with a focus on reliability, testing, and maintainability
• Partner with product and data science to translate requirements into scalable software
• Help shape engineering standards, architecture decisions, and team culture

• 4+ years of professional software engineering experience shipping and operating production systems
• Strong experience building modern full-stack web applications with Next.js, Type Script, React, and Python
• Hands-on experience with FastAPI or similar modern backend frameworks
• Proven experience implementing subscription, billing, and payment systems
• Experience with Docker, CI/CD, and production deployments
• Solid understanding of API design, authentication/authorization, and SaaS feature gating
• Advanced analytical and problem-solving skills
  , with a track record of framing ambiguous problems and driving them to conclusions
• Proficiency in Python (e.g., pandas, Num Py, scikit-learn or similar) and experience writing production-quality code
• Ability to work in Minneapolis with a hybrid schedule (3 days/week in office)
• Ability to work collaboratively in a small, fast-paced team and to communicate clearly with both technical and non-technical stakeholders
• Comfort working in an early-stage startup environment with evolving priorities and a high degree of ownership

• Experience with financial markets, equity research, portfolio analytics, or trading systems
• Hands-on experience with time-series modeling
  , including forecasting and evaluation in live or semi-live settings
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data tooling (e.g., dbt, Airflow, Spark, Ray, or similar)
• Previous experience at an early-stage startup or in building a new data science function or product from the ground up
• Experience with MLOps practices (monitoring, retraining, model versioning)
• Graduate degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Physics, Engineering, or similar), or equivalent practical experience

• Work on real-world problems where your code ships to production and is used by actual users
• Get exposure to the full lifecycle of building a data product, including design, implementation, testing, deployment, and monitoring
• Collaborate closely with data science and research teammates and see how software engineering connects to quantitative analytics and decision-making
• Learn directly from experienced founders and technical leaders in software, data, and product
• Join early enough to have meaningful ownership over projects, tools, and processes, and to influence the direction of the product and engineering stack