Quantitative Developer

Dalio Family Office•Westport, CT
•Hybrid

About The Position

The Quantitative Developer will own the design, reliability, and evolution of the Dalio Family Office’s portfolio and investment architecture. This is a hands-on role and technical ownership of a mission-critical financial system that must be accurate, auditable, and trusted by investment professionals and operations teams. The role works closely with global technology and investment teams to ensure functionality, availability, quality, scalability, and security across systems, and offers an opportunity to help shape the financial software ecosystem. Regular in-office presence is required, and international travel may be needed. The role involves developing and managing Python-based infrastructure; partnering with quantitative traders, researchers, and investment analysts; translating business objectives into technical solutions; analyzing data; maintaining application and process documentation; optimizing system performance; ensuring compliance with governance, security, and regulatory requirements; resolving issues; supporting users; and integrating systems with existing infrastructure. The ideal candidate understands portfolio implementation and investment operations, including portfolio rebalancing, instrument selection, cash and collateral management, trade execution, and middle- and back-office workflows.

Requirements

  • At least 4 years of professional experience in quantitative development or quantitative engineering.
  • Strong proficiency in SQL and Python.
  • Experience with modern data warehousing platforms such as Snowflake, Databricks, Postgres, or MariaDB.
  • Experience with cloud technology stacks such as AWS, Azure, or GCP and CI/CD integrations such as GitLab.
  • Hands-on experience with common financial instruments and derivatives, including equities, futures, bonds, and options.
  • Bachelor’s degree in Computer Science, Math, Physics, or another STEM field, or equivalent professional experience.
  • Demonstrated understanding of portfolio implementation and investment operations, including portfolio rebalancing, instrument selection, cash and collateral management, trade execution, and middle- and back-office workflows, supported by experience in trading, risk management, data engineering, or a related discipline within a bank, hedge fund, or asset management environment.
  • Ability to travel internationally when needed.
  • Strong conceptual thinking and ability to proactively solve problems.

Nice To Haves

  • A track record of excellence in a high-performing financial services environment.

Responsibilities

  • Design, build, enhance, and manage robust Python-based infrastructure to ensure functionality and reliability.
  • Establish and enforce code-quality frameworks.
  • Partner with quantitative traders, researchers, and investment analysts to ensure products meet investment requirements.
  • Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.
  • Conduct exploratory development analysis to uncover trends, patterns, and insights.
  • Develop and maintain documentation for applications, processes, and procedures.
  • Monitor and optimize system performance for efficient and timely usage.
  • Ensure compliance with code governance policies, security standards, and regulatory requirements.
  • Troubleshoot and resolve issues and inconsistencies.
  • Stay updated on financial technology trends and advancements and recommend improvements.
  • Provide technical support and training to end users as needed.
  • Collaborate with IT and other departments to integrate systems with existing infrastructure.
  • Participate in data-related project planning and execution, ensuring timely delivery of deliverables.
  • Perform additional duties as assigned.

Benefits

  • 100% company-paid medical premiums.
  • 14 company-paid holidays.
  • Friday summer hours.
  • Monthly community happy hours.
  • Hybrid work environment.
  • Free catered food services for in-office days.
  • Generous paid time off; the compensation section specifies 15 to 25 days based on years of service.
  • Casual dress code.
  • 401(k) match: 150% up to $7,500 and 100% above $7,500, with a $15,000 match limit.
  • Gym reimbursement.
  • Backup childcare services.
  • Insurance, financial, and legal services.
  • Paid sick and safe leave.
  • Dental insurance.
  • Vision insurance.
  • Life insurance.
  • Disability insurance.
  • Paid parental time off.
  • Birth mother recovery pay.
  • Sick family member pay.
  • Parental ramp-back-up program.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service