K4
Quantitative Researcher
New York City
Sponsorship not specifiedDetected 198 days ago
PythonRustC++RailsMachine LearningPandasNumPyData AnalysisComputer VisionStatisticsElectrical EngineeringSignal ProcessingResearch
About the role
- You will work in a tight feedback loop with our Quantitative Technologists.
Responsibilities
- Risk Management: Developing robust covariance matrices and risk constraints to ensure survival and profitability during "black swan" events or volatility shocks.
- Protocol Optimization: Collaborating with engineers to reverse-engineer exchange behavior and optimize order placement logic for specific frontier venues.
- At K4, research outcomes drive more than just risk-adjusted returns.
- We design and deploy the financial infrastructure that powers modern markets, partnering with leading research organizations to solve engineering problems at a global scale.
Requirements
- Advanced Degree: Ph.D. or M.S. in a quantitative field (Physics, Mathematics, Statistics, Computer Science, or Electrical Engineering).
- Implementation Skills: Proficiency in C++ or Rust is highly desirable.
- We value raw analytical horsepower and the ability to apply it to open-ended problems.
- Scientific Computing: Fluency in Python (NumPy, SciPy, Pandas) for data analysis and research.
- Implementation Skills: Proficiency in C++ or Rust is highly desirable. At K4, researchers are expected to understand the production systems their models run on.
- Statistical Rigor: A deep understanding of probability theory, linear algebra, and regression analysis. You should intuitively understand the dangers of overfitting and look-ahead bias.
- We are looking for individuals with a fierce intellectual curiosity and a "first-principles" approach to problem-solving. We value raw analytical horsepower and the ability to apply it to open-ended problems. To apply, please submit your Resume/CV and, if applicable, a link to your research portfolio (SSRN, arXiv) or GitHub. We are particularly interested in research that demonstrates creativity in data selection and rigorous methodology.
Skills
- Proficiency in C++ or Rust is highly desirable.
- At K4, researchers are expected to understand the production systems their models run on.
- To apply, please submit your Resume/CV and, if applicable, a link to your research portfolio (SSRN, arXiv) or GitHub.
Benefits
- Predictive Modeling: Applying advanced statistical techniques (time-series analysis, machine learning, stochastic calculus) to forecast price movements over various time horizons.
This listing is sourced directly from K4's careers page and normalized into a canonical job model.