Remote Senior Data Scientist - Financial Markets & ML

Placements24; Willows (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Fully remote

Equity options

Performance-based bonuses

Generous paid time off

Health and wellness programs

Budget for professional development

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote role focused on financial markets analysis. You will build predictive models, ML pipelines, and risk tools to inform trading decisions from diverse datasets.

The ideal candidate has 5+ years in data science within finance, strong Python/ML libraries, and experience with cloud platforms and big data technologies. Equity options and a generous remote-friendly environment are offered.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years of hands-on data science experience in finance.
• Strong programming with Python and SQL, plus ML libraries.
• Experience with big data tools and cloud platforms.

Responsibilities

• Design and implement ML models for forecasting, risk, and algo trading.
• Analyze large financial datasets from diverse sources.
• Build data pipelines for feature engineering and deployment.
• Collaborate with quants, traders, and product managers to translate needs.
• Maintain robust, reproducible code and scalable analyses.
• Stay current with DS/fintech advances and communicate insights clearly.
• Contribute to data governance and data quality practices.
• Mentor junior data scientists and help grow the team.

Skills

Python

SQL

Scikit-learn

TensorFlow

PyTorch

Big Data

Data Visualization

Education

Master's or PhD in Computer Science / Statistics / Mathematics / Physics / Economics

Tools

Spark

Hadoop

AWS

Azure

GCP

MLOps

Job description

Placements24 is seeking a Senior Data Scientist for a fully remote role focused on financial markets analysis. You will build predictive models, ML pipelines, and risk tools to inform trading decisions from diverse datasets.

The ideal candidate has 5+ years in data science within finance, strong Python/ML libraries, and experience with cloud platforms and big data technologies. Equity options and a generous remote-friendly environment are offered.