Quantitative Researcher - Early Career
Develop machine-learning models and systematic trading strategies from large financial datasets, conducting quantitative-finance research and simulations. The role requires a STEM degree, Python proficiency, strong problem-solving skills, and interest or experience in alpha research.
About the job
Responsibilities
- Design, implement, and optimize machine learning models to predict liquid assets using financial data and trading signals.
- Parse datasets for future alpha strategy development.
- Investigate and implement state-of-the-art academic research in quantitative finance.
- Collaborate with quantitative researchers to conduct experiments and test hypotheses using simulations.
Requirements
- Bachelor's, master's, or PhD degree in a STEM discipline from a prestigious institution.
- Passion for machine learning and quantitative finance.
- Strong problem-solving skills.
- Ability to work effectively independently and as part of a team.
- Proficiency in programming languages such as Python.
- Previous experience in alpha research and developing trading signals and strategies.
- Open to candidates graduating from Tier 1 campuses in 2027.
Compensation and Benefits
- Competitive compensation with a bonus tied to the performance of developed algorithms.
- Collaborative work environment with participation in research-direction decisions and opportunities to lead new ideas.
- Pre-tax commuter benefits.
- Weekly company meals.
Skills
Python, Machine Learning, Quantitative Finance, Statistical Modeling, Alpha Research, Trading Signals, Trading Strategies, Data Analysis, Financial Data, Simulations
Similar jobs
AI Research jobs
Improbable
Remote
Conduct applied research on AI agents, designing experiments and evaluation systems to improve reliability, context retention, and multi-step task completion. The role requires strong AI/ML research, engineering, experimental design, and communication skills.
AI Digest
Remote
Conduct research on long-horizon, multi-agent AI behavior by designing agent environments, analyzing large-scale data, and running experiments. The role requires strong research judgment, rapid execution, independence, and familiarity with current AI developments.
AI Digest
Remote
Build, optimize, and evaluate long-running and multi-agent AI systems, along with tools for monitoring and analyzing their real-world behavior. The role requires software engineering experience with coding agents, strong independence, and familiarity with current AI developments.
Vanta
Remote
Build Vanta’s organizational intelligence layer by shipping prototypes, internal tools, and AI agent workflows that make cross-source data useful to EPD, GTM, and other teams. The role requires recent hands-on LLM product work, independent problem scoping, and strong judgment around AI quality, reliability, cost, and latency.