Quantitative Developer

Quantitative Developer, Investments

Dalio Family Office

Dalio Family Office Overview:

The Dalio Family Office (DFO) supports Barbara and Ray Dalio and their family in their ventures, investments, and philanthropic efforts under Dalio Philanthropies, which includes OceanX, Dalio Education, Endless Network, and the Beijing Dalio Foundation. The core of the DFO’s culture is built around meaningful work and meaningful relationships and the family’s commitment to giving back. The office is headquartered in Westport, CT with regional offices in New York City, Singapore, and Abu Dhabi.

Position Summary:

The Quantitative Developer will own the design, reliability, and evolution of our portfolio/investment architecture. As a Quantitative Developer, you will be the technical owner of a mission-critical financial system that must be accurate, auditable, and trusted by investment professionals and operations teams. This position will work closely with our global technology and investment teams to ensure functionality, availability, quality, scalability, and security across various systems. This is a hands-on position with the opportunity to help shape our financial software ecosystem. This role requires regular in-office presence.

Day-to-day responsibilities would include a combination of the following:

• Design, build, enhance and manage robust python-based infrastructure to ensure functionality and reliability.
• Establish and enforce code-quality frameworks.
• Partner closely 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 systems performance to ensure efficient and timely usage.
• Ensure compliance with code governance policies, security standards, and regulatory requirements.
• Troubleshoot and resolve issues and inconsistencies.
• Stay updated with industry trends and advancements in financial technology to 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.
• Additional duties as assigned

The ideal candidate will possess the following knowledge, skills, attributes, and values:

• Demonstrated understanding of portfolio implementation and investment operations, including portfolio rebalancing, instrument selection, cash and collateral management, trade execution, and middle/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.

 

Illustrative 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 PTO offering 
• Casual dress code
• 150% 401(k) match up to $7,500 and 100% match above $7,500 ($15k match limit)
• Gym reimbursement, back up childcare services, insurance, financial, and legal services, and much more!

 

Qualifications:

• At least 4 years of professional experience in quantitative development / quantitative engineering, ideally with track record of excellence in a high performing financial services environment.
• Strong proficiency in SQL and Python.
• Experience with modern data warehousing platforms (Snowflake, Databricks, Postgres, MariaDB, etc.).
• Experience with cloud technology stacks (AWS, Azure, GCP) and CI/CD integrations (Gitlab).
• Hands-on experience with common financial instruments and derivatives like equities, futures, bonds, options
• Bachelor Degree in Computer Science, Math, Physics/STEM or equivalent professional experience

 

Compensation:

Compensation for the role includes a competitive salary in the range from $265,000 -$405,000 (inclusive of a merit-based bonus, dependent on years of experience, level of education obtained, as well as applicable skillset) and an excellent benefits package, including  paid time off ranging from 15 to 25 days based on years of service, paid sick and safe leave, dental, vision, life and disability insurance, paid parental time off, birth mother recovery pay, sick family member pay, parental ramp back up program, gym reimbursement and generous employer match for 401k. 

 

Please note we are unable to provide immigration sponsorship for this position.

 

Use of AI in the Application Process:

We recognize that candidates may use AI-enabled tools to assist with resume drafting, application preparation, and interview preparation. Such use is permitted provided all submitted materials accurately reflect the candidate's own qualifications, experience, skills, and work history.

 

Candidates may not submit hidden instructions, embedded prompts, misleading metadata, deceptive content, code, or other materials intended to interfere with or improperly influence the Company's recruiting process or the administration of candidate applications

 

Any attempt to misrepresent qualifications or improperly interfere with the recruiting process may result in disqualification from consideration.

 

 

At the DFO, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. The DFO treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes and general treatment during employment, including on the basis of actual or perceived race, creed, color, religion, sex, age, sexual orientation, gender identity and/or expression, alienage or national origin, ancestry, citizenship status, marital status, veteran status, or disability.