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)