Finance Data Scientist

Role Overview

As a Data Scientist, you will leverage your expertise in data analysis, predictive modeling, and coding to uncover actionable insights from structured and unstructured data. This role is integral to solving business problems, driving better decision-making, and enabling innovative solutions.

What You Will Do

Develop algorithms, predictive models, and applications to solve complex business problems using data science techniques. Perform large-scale experimentation, statistical analysis, and interpret structured and unstructured datasets to derive meaningful insights.

Why It Might Be a Fit

We are looking for talented individuals who are ready to take the next step in their career, develop their skills, and contribute to cutting-edge solutions in finance and analytics.

Requirements

• Bachelor’s degree in a relevant field with 0-1 years of hands-on experience in the domain with demonstrated skills gained through internships, academic projects, coursework, or hands-on training OR a Master’s degree in a relevant field with no prior professional experience.
• Proficiency in Python and SQL.
• Knowledge of predictive modeling, machine learning algorithms, and statistical analysis techniques.
• Understanding of big data frameworks and principles.
• Hands-on experience building an application using a large language model (LLM), including integration through code with an API or model library, demonstrated through coursework, internships, or personal projects.

Benefits

• Competitive pay
• Stock bonuses
• Health
• Retirement
• Vacation