Senior Data Scientist

The role

The Senior Data Scientist will work with large and complex data sets to derive investment-relevant metrics. This role involves implementing risk factor models and building customer-facing metrics and dashboards.

What you will do

• Work with large and complex data sets to derive investment-relevant metrics.
• Apply statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns and identify opportunities.
• Implement the risk factor model using advanced statistical and programming techniques.
• Conduct rigorous testing and validation of the model.
• Build customer-facing metrics and dashboards.
• Provide feedback to analysts, engineers, and Product Managers during platform development.

Required qualifications

• 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, Stati
• 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.

Nice to have

• IIT preferred
• Experience with Airflow, Google BigQuery, and Clickhouse is a plus

About the company

arcanaanalytics is an extremely well-capitalized startup with a proven team of senior financial and tech industry talent.