What are the responsibilities and job description for the Quantitative Researcher position at Valkyrie Trading?
What You’ll Do:
At Valkyrie, Quantitative Researchers are expected to apply their quantitative skill set to solve challenging problems in financial modeling and algorithm development. In this role, you will have an opportunity to work with traders and software developers in a highly collaborative environment to improve Valkyrie’s complex, ever-evolving algorithmic infrastructure. Specific responsibilities can range from building tools for traders to exploring new trading ideas, to writing algorithms from scratch to automating and refining existing strategies. You will also inform traders about the market developments, tools and models that drive Valkyrie’s trading activities.
This role is for experienced applicants and those with 3 years of relevant experience will be considered for a Senior-level role.
\n- 2 years of full-time, professional experience in data science, algorithm development, or statistical research
- Degree in mathematics, physics, engineering, computer science or equivalent
- Ability to write and maintain a repository of clean, organized, object-oriented Python code
- Willingness and ability to take full ownership (design, implement, backtest, maintain, iterate) of open-ended research and algorithm design projects
- Expertise working with MySQL or similar databases in conducting historical research and back-testing
- Capability to clearly communicate complex ideas and work on a collaborative team across departments (with traders, software developers)
- Entrepreneurial attitude with a keen attention to detail and a deep interest in the financial industry
- Vision to solve today’s problems while building future solutions
- Competitive salaries and performance bonuses
- Top-tier medical and dental coverage
- Relocation assistance packages
- Generous vacation policy
- Training opportunities and continuing education
- Catered lunch, snacks, and beverages
- Group outings and company parties
- Casual dress environment
