At a glanceSummarised by Seekless from the posting.
Must have9
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
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 have1
Experience with Airflow, Google BigQuery, and Clickhouse is a plus
Skills
SQL
Python
Airflow
Google BigQuery
Clickhouse
About the role
We’re looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate about financial technologies, this is a great opportunity to work at an extremely well-capitalized startup with a proven team of senior financial and tech industry talent to build the future of investing tools.
Responsibilities:
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Work with large and complex data sets and derive investment-relevant metrics in close partnership with financial analysts and engineers.
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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.
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Implement the risk factor model using advanced statistical and programming techniques, ensuring its performance aligns with the proposed design.
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Conduct rigorous testing and validation of the model to ensure its effectiveness in identifying, quantifying, and managing various risk factors.
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Build customer-facing metrics and dashboards.
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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). IIT preferred.
•
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.