Kpler
Quantitative Data Scientist
New York
Sponsorship not specified$70k-$100kDetected 19 days ago
PythonAWSGCPAzureCloud PlatformsLinuxMachine LearningData AnalysisData EngineeringData ScienceStatisticsResearch
About the role
- The ideal candidate combines strong software engineering skills with a solid mathematical and statistical foundation and is comfortable working hands-on with large financial datasets.
Requirements
- Circa 1-3 years of experience in data engineering, data science, quantitative technical role.
- Strong Python programming skills with the ability to write clean, maintainable, and efficient code.
- Strong understanding of probability, statistics, and quantitative analysis.
- Experience working with large datasets and relational databases.
- Demonstrated ability to translate research requirements into technical solutions.
- Experience working in Linux/server-based environments.
- Experience in financial markets, trading, or quantitative investing.
- Familiarity with options markets, derivatives, and volatility products.
- Experience supporting systematic trading or quantitative research teams.
- Knowledge of cloud infrastructure (AWS, GCP, Azure).
Compensation
- $70k-$100k
This listing is sourced directly from Kpler's careers page and normalized into a canonical job model.