2 days ago
London, United KingdomSenior
Responsibilities
- Build, scale, and maintain the integrity layer of the label platform for Risk ML models.
- Define, implement, and monitor statistical fundamentals and quality metrics for data and labels.
- Design automated audit processes to evaluate and monitor label quality over time.
- Work end-to-end on machine learning model training, evaluation, and pipeline deployment.
- Build static data pipelines, conduct deep-dive data analysis, and use data visualization tools to understand statistical behavior.
- Collaborate with Risk Intelligence, Data Engineering, Product, and other cross-functional partners.
Requirements
- Degree in STEM, such as Computer Science, Mathematics, Statistics, Physics, Chemistry, Electrical Engineering, or a related quantitative field.
- Strong mathematical and statistical fundamentals with demonstrated application of statistical analysis to complex data environments.
- Hands-on experience across machine learning model training, evaluation, and deployment, including frameworks related to machine learning, AI, neural networks, or NLP.
- Strong proficiency in Python or Java for data scripting and production engineering, plus advanced SQL capability.
- Hands-on experience building static data pipelines, conducting deep-dive data analysis, and using data visualization tools.
- Preferred experience includes competitive machine learning platforms or competitions such as Kaggle, KDD competitions, or Google Summer of Code, specialized ML architectures, Kafka or real-time streaming pipelines, and fintech or other fast-scaling technology environments.
Benefits
- Starting salary of £111,000–£145,000 per year.
- Stock equity grants in the form of RSUs vesting over four years.
- Additional Wise benefits.
- Hybrid work arrangement.
Tech Stack
Categories
About Wise
Wise builds a cross-border payments and multi-currency account used by individuals and businesses to send, receive, hold, and spend money in 40+ currencies. Revenue comes from transfer and account fees, card interchange, and enterprise partnerships via Wise Platform, which lets banks and large companies embed its international payments. Founded in 2011 as TransferWise, Wise is a London-headquartered public company.