Quantitative Data Scientist
Kpler
| Company | Kpler |
| Category | Data & Analytics |
| Location | New York |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Not stated |
| Salary | USD 70k–100k |
| Posted | 2 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (lever) |
Description
The Quantitative Data Scientist will serve as a critical bridge between research and technology, enabling the firm's systematic trading and options research initiatives through robust data acquisition, engineering, and analytics capabilities.
This role is responsible for sourcing and integrating new datasets, building and maintaining reliable research data pipelines, developing analytical processes to transform raw data into actionable insights, and supporting quantitative researchers with scalable tools and infrastructure. 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.
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