Senior Data Scientist

Rachel Paul Recruiting · Greenwich

FULL TIME

Job Description

My client is a top Quant Investment firm. They are looking for a Senior Data Scientist to join their team :)

This role is hybrid in Greenwich, CT.

This Role requires Finance experience!

You will serve as a bridge between data engineering and quantitative research. Working directly with researchers, you will also be responsible for ensuring research datasets are accurate, traceable, and ready for machine learning by developing robust data preparation and quality workflows. Your responsibility is to deliver clean, reliable, project-specific datasets and features to the researcher.

What You'll Do

Partner directly with quantitative researchers to understand the needs of a specific machine learning project and collaboratively produce data that best fits the model and project

Transform raw structured and unstructured data into project-specific, research-ready datasets

Perform feature generation and deliver prepared datasets and features to the researcher for modeling and productionization

Resolve tagging, entity-matching, and linkage issues across signals, textual data, and securities

Build data quality assurance, quality monitoring, and profiling workflows through programmatic checks, LLM reviews where appropriate, targeted manual inspection, and feedback-driven iterative refinement

Build point-in-time mappings and knowledge graphs for mergers and acquisitions, bankruptcies, IPOs, and other corporate events

Examine and onboard alternative datasets

Ensure datasets are clean, traceable, and reliable for trading strategies

Work across different researchers and potentially concurrent projects as priorities and the scope of the role evolve

Communicate clearly with researchers and engineering partners

What You'll Bring

4+ years of relevant work experience

Strong Python programming skills, including hands-on experience with pandas and NumPy

Strong SQL skills and practical experience with PostgreSQL

Experience working with both structured data and unstructured or textual data

Experience with data quality, validation, monitoring, and profiling

Experience with Git, PyTest, CI/CD, and API development

Ability to reason carefully through edge cases, protect data integrity, and maintain clear documentation of data definitions, transformations, and quality checks

Ability to work independently, communicate clearly with technical and non-technical stakeholders, and manage work across multiple concurrent initiatives

Strong visualization skills

Preferred Qualifications

Experience with scikit-learn, statistics, or advanced modeling techniques

Experience with entity resolution, entity matching, or knowledge graphs

Experience designing prompts and using LLM APIs for batched or large-scale investigation, validation, feature generation, and iterative refinement

Experience building LLM-based featurization workflows, including iterative refinement, validation, and automated testing

Experience with Claude Code, Codex, or AWS Bedrock

Experience with AWS, including S3 and Batch

Experience with distributed computing and large-scale data processing

Exposure to data governance, data cataloging, or related best practices

Strong Math and statistics skills

Experience with Pytorch

Prior experience in financial services, trading, quantitative research, or another research-driven environment

Company	Rachel Paul Recruiting
Location	Greenwich
Type	FULL TIME
Niche	Full-time

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