Sardine helps neobanks and crypto wallets with fraud indemnification and advanced risk scoring. We're rapidly growing but still a small team. You'll be essential part of building next phase of company.

You will:

• Develop statistical and machine learning models for fraud prevention and other use cases
• Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
• Evolve our risk metrics, the datasets to support them, and the measurement of causal impact of initiatives to improve them
• Bring data-driven thinking to our team and our customers

We’re looking for someone who has:

• 5+ years of data science/quantitative modeling experience
• Advanced Degree in Mathematics, Statistics, Quantitative Finance, Economics, Sciences, Engineering, or Computer Science
• Strong working knowledge of SQL, R, Python, Matlab, C++, or equivalent
• Creative problem solving, strong critical thinking, and a get things done mentality

Technologies we use includes:

• bigtable
• postgres
• GCP dataflow (apache beam)
• bigquery
• ElasticSearch
• Metabase
• TypeScript (React + node)
• Golang
• Python
• Ruby

Benefits

• Remote-first
• Flexible PTO
• Health care and 401K
• Work from home stipend
• 7-year for post termination option exercise (vs standard 90 days)