Senior Data Scientist - Risk Analytics

August 30

🏡 Remote – New York

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Logo of Mercury

Mercury

Banking for startups: mercury.com

201 - 500

Description

• Own and manage core risk metrics and data • Build observability for internal operations • Respond to ad hoc data requests • Partner with Risk stakeholders • Analyze historical data to identify trends • Collaborate with Data Scientists and Data Engineers • Leverage data models and analytics techniques

Requirements

• 4+ years of experience with large datasets • 2+ years in risk • Fluency in SQL • Experience developing dashboards • Ability to ask questions and conduct analyses • Super organized and communicative • Comfortable in a fast-paced environment • Fluency in statistical programming languages (ideally Python, R) • Experience building data pipelines and ETL processes

Benefits

• Base salary • Equity (stock options) • Highly competitive salary and equity ranges

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