Remote Senior Data Scientist - Financial Markets

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

About the Role

Our client, a leading global fintech company, is seeking an exceptional Senior Data Scientist to join their fully remote team, focusing on financial markets analysis. This position is ideal for a candidate passionate about leveraging advanced statistical techniques, machine learning, and big data technologies to extract actionable insights from complex financial datasets. You will be instrumental in developing predictive models, algorithmic trading strategies, and risk assessment tools that drive innovation and competitive advantage. This role is entirely remote , offering the flexibility to work from anywhere, while contributing to critical financial decisions from afar.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models and statistical analyses for financial forecasting, risk management, and algorithmic trading.
• Process, clean, and analyze large, diverse datasets from various financial sources, including market data, transactional data, and alternative data.
• Build and optimize data pipelines for feature engineering, model training, and deployment.
• Collaborate closely with quantitative researchers, traders, and product managers to understand business needs and translate them into data-driven solutions.
• Develop and maintain robust code for data analysis, modeling, and reporting, ensuring reproducibility and scalability.
• Stay abreast of the latest advancements in data science, machine learning, and financial technology.
• Communicate complex findings and recommendations effectively to both technical and non-technical stakeholders through visualizations and presentations.
• Contribute to the development of data governance best practices and ensure data quality.
• Mentor junior data scientists and contribute to the overall technical growth of the team.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist, with a strong focus on financial markets or quantitative finance.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Deep understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, time series analysis, deep learning), and their application to financial problems.
• Experience in feature engineering, model validation, and MLOps principles.
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication and interpersonal skills, with the ability to work effectively in a distributed team environment.
• Familiarity with financial instruments, market data, and trading concepts is essential.
• Demonstrated ability to deliver high-quality, production-ready code and analytical solutions.

Benefits

• This role offers a highly competitive salary, performance-based bonuses, and equity options.
• Employees benefit from a fully remote work environment, generous paid time off, health and wellness programs, and a significant budget for professional development and conferences.

Our client invests heavily in cutting-edge technology and fosters a culture of innovation and learning, providing unparalleled opportunities for growth in the Banking & Finance sector, regardless of geographical location.