Data Scientist, Risk & Derivatives Analytics

Unchain Data; Town of Poland (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Unchain Data is seeking a Data Scientist in New York who will develop methodologies for risk assessment, focusing on liquidity and market derivatives. You'll deliver impactful, data-driven solutions while collaborating with engineering to deploy risk methodologies into production.

The ideal candidate has a strong background in mathematics or statistics, 3+ years of relevant experience, and advanced skills in Python and SQL. Enjoy contributing to a dynamic team dedicated to enhancing the customer experience.

Qualifications

• 3+ years of experience in machine learning, financial engineering, or similar roles.
• Knowledge of margin trading mechanics and derivatives pricing models.
• Proficiency in quantitative modelling and time-series methods.

Responsibilities

• Developing and maintaining methodologies for liquidity and market derivative modelling.
• Delivering data-driven solutions to impact products.
• Building and maintaining the core risk engine.

Skills

Machine Learning

Financial Engineering

Risk Management

Quantitative Modelling

Python

SQL

Education

Degree in mathematics, statistics, financial engineering, machine learning, or computer science

Job description

Unchain Data is seeking a Data Scientist in New York who will develop methodologies for risk assessment, focusing on liquidity and market derivatives. You'll deliver impactful, data-driven solutions while collaborating with engineering to deploy risk methodologies into production.

The ideal candidate has a strong background in mathematics or statistics, 3+ years of relevant experience, and advanced skills in Python and SQL. Enjoy contributing to a dynamic team dedicated to enhancing the customer experience.