Quantitative Researcher (Experienced)
Valkyrie Trading · On-site
MeritLog read this listing from Valkyrie Trading's Lever job board and last checked it on September 12, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Chicago, IL
- Occupation
- Data Scientists(O*NET 15-2051.00)
Hiring context
How this role compares at Valkyrie Trading
Valkyrie Trading has 6 live roles in MeritLog’s catalog across 3 job families, and 3 of them are in engineering. 1 of those listings publish a pay range, a disclosure rate of 17%.
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
What You’ll Do: At Valkyrie, Quantitative Researchers are expected to apply their quantitative skill set to solve challenging problems in financial modeling, algorithm development, and system optimizations. 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, to analyzing and optimizing system performance. You will also inform traders about the market developments, tools, and models that drive Valkyrie’s trading activities. Quantitative Researchers here focus on one of two areas: modeling or execution. Modeling Quantitative Researchers are expected to design automated market-making and risk management algorithms, and to build statistically driven position taking strategies. Execution Quantitative Researchers are expected to perform post-trade analysis, system behavior investigations, algo parameter optimizations, market microstructure studies, and other execution system optimizations. This role is for experienced applicants. Those with 3+ years of relevant experience will be considered for a Senior-level role.