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Form of work
SalaryOverview:
As a Quantitative Data Engineer, you will be working at the intersection of finance and technology. You will have the opportunity to contribute to the development and enhancement of our quantitative research and capabilities for our subscribers, utilizing your expertise in data engineering.Responsibilities:
About 1729 Research
Founded in 1999 and based in Baltimore, Maryland, Stansberry Research is the largest independent source of financial insight in the world. It delivers unbiased investment advice to self-directed investors seeking an edge in a wide variety of sectors and market conditions.
Stansberry Research has nearly two dozen analysts and researchers – including former hedge-fund managers and buy-side financial experts. They produce a steady stream of timely research on value investing, income generation, natural resources, biotech, financials, short-selling, macroeconomic analysis, options trading, and more.
The company's uncompromised insight has made it one of the most respected and sought-after research organizations in the financial sector. Stansberry Research has nearly 1 million readers and more than 250,000 paid subscribers in well over 100 countries.
Take a virtual tour of our Baltimore office.
As a Quantitative Data Engineer, you will be working at the intersection of finance and technology. You will have the opportunity to contribute to the development and enhancement of our quantitative research and capabilities for our subscribers, utilizing your expertise in data engineering.
- Design, develop, and maintain robust data pipelines and infrastructure to support quantitative research and backend systems.
- Work closely with quantitative engineers and product managers to understand data requirements and enhance data-driven systems.
- Contribute to the integration of data into quantitative models and backend services.
- Identify and implement optimizations to improve data processing speed, model execution, and overall system performance.
- Proactively address data quality issues and implement solutions to ensure data accuracy and reliability.
- The ideal candidate will be an analytical and technical problem solver, curious about financial markets and quantitative finance, and show an ability to work autonomously and as part of a distributed team.
- Bachelor’s degree in computer science, Mathematics, Quantitative Finance, Physics, Engineering, or a similar discipline.
- Proven experience in quantitative data engineering within the financial industry.
- Strong programming skills in languages such as Python.
- Familiarity with quantitative finance concepts and financial instruments.
- Excellent communication skills and the ability to collaborate effectively within a dynamic team.
- Sedentary work that primarily involves sitting/standing.
- Visual acuity for reading and using the computer
- Ability to perceive
- Ability to freely move about the office
- Ability to use the phone/computer/keyboard/mouse/general office equipment for extended periods of time
- Ability to communicate with others in order to exchange information
- Fluency in the English language
About 1729 Research
At Stansberry Research, we thrive on new ideas and the entrepreneurial spirit. Naturally, we always look for explorers and innovators. If you are interested in a career where your ideas won't only be heard but rather celebrated, we'd like to hear from you.
Founded in 1999 and based in Baltimore, Maryland, Stansberry Research is the largest independent source of financial insight in the world. It delivers unbiased investment advice to self-directed investors seeking an edge in a wide variety of sectors and market conditions.
Stansberry Research has nearly two dozen analysts and researchers – including former hedge-fund managers and buy-side financial experts. They produce a steady stream of timely research on value investing, income generation, natural resources, biotech, financials, short-selling, macroeconomic analysis, options trading, and more.
The company's uncompromised insight has made it one of the most respected and sought-after research organizations in the financial sector. Stansberry Research has nearly 1 million readers and more than 250,000 paid subscribers in well over 100 countries.
Take a virtual tour of our Baltimore office.
Our commitment:
As an employer committed to equal opportunity and a diverse workforce, all qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
