Research Analyst, Equities

Research Analyst, Equities

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:

Reporting to the Head of Public Equities, the Analyst will research, develop, and evaluate systematic and fundamental investment processes in public equities by contributing to each stage of the investment process (from data to research to signal generation, to portfolio construction). The Research Analyst will assist, lead, and direct data analysts to build out data pipelines from external vendors and internal databases, utilizing large-scale equity databases and analytical infrastructure to build out systematic and fundamental equity strategies and tools.  Write/Vibe code production-quality code, iterating rapidly in a high-velocity research environment, and translating raw financial data into actionable, rigorous investment insights. This role will work closely with the Head of Public Equities to develop strategies and tools.

 

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

• Collaborate and lead equity data analysts/engineers
• Extract, clean, transform, and model data from institutional databases including Compustat, FactSet, Bloomberg, and other financial data providers; manage the full data pipeline from ingestion to analysis-ready datasets.
• Evaluate new data sources — alternative data, NLP signals, earnings transcripts, satellite data — and rapidly prototype integration into the research stack.
• Design, build, and backtest systematic and fundamental equity signals and factor models using structured and alternative data both for US and overseas markets.
• Develop and maintain a library of reusable, well-documented code and research tools that accelerate the team's research velocity.
• Build and iterate on equity investment frameworks that are both analytically rigorous and conceptually coherent
• Support portfolio construction processes including factor exposure analysis, risk decomposition, and optimization inputs; interface directly with risk systems.
• Automate recurring data workflows, reporting pipelines, and monitoring dashboards to reduce manual processes and increase team efficiency.

• Additional duties as assigned

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

• Highly analytical with good technical/programming skills
• Advanced communication skills
• High level of confidentiality and discretion
• Ability to learn quickly with limited direction in an entrepreneurial environment
• Eager to take a high level of ownership for responsibilities within their remit, while keeping a finger on the pulse of third and fourth order impacts

 

Illustrative Benefits:    

• 100% company paid medical premiums
• 17 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:

• Approximately 5 to 10 years of experience in systematic/quantitative equities research or trading
• Extensive knowledge with large scale databases for both traditional/fundamental data (Compustat, factset etc) and preferably alternative data (e.g. RavenPack)
• Demonstrated understanding of advanced fundamentals of equities (financial statements, valuation models)
• Deep understanding of equities quantitative approaches (factor investing, signal construction, portfolio construction, risk management, trading optimization)
• Ability to travel internationally

 

Compensation:

Compensation for the role includes a competitive salary in the range from $500,000 -$700,000 (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.