Data Scientist

Responsibilities:

• Work with large and complex data sets and derive investment-relevant metrics in close partnership with financial analysts and engineers.
• Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various assets.
• Implement the risk factor model using advanced statistical and programming techniques, ensuring its performance aligns with the proposed design.
• Conduct rigorous testing and validation of the model to ensure its effectiveness in identifying, quantifying, and managing various risk factors.
• Build customer-facing metrics and dashboards.
• Work closely with analysts, engineers, and Product Managers and provide feedback as we develop our data analytics and research platform.

Requirements:

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e. g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science).
• 3+ years of experience with data analysis and metrics development.
• 3+ years of experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders.
• 2+ years of experience writing SQL queries.
• 2+ years of experience scripting in Python.
• Interested in learning new technologies to solve customer needs with lots of creative freedom.
• Strong communication skills and business acumen.
• Self-starter, motivated by an interest in developing the best possible solutions to problems.
• Strong SQL and Python programming skills.
• Experience with Airflow, Google BigQuery, and Clickhouse is a plus.