Shakepay is hiring a
Risk Data Science Lead

Summary

The job is for a Risk Data Science Lead at Shakepay, a fast-growing Canadian fintech company specializing in Bitcoin-friendly financial services. The role involves working with large data sets to identify and solve challenging problems related to customer actions and risk decisioning, developing and refining models for risk assessment and underwriting, and managing experiments to optimize risk management.

Requirements

• Minimum of 5+ years of work experience in data science or analytics
• Strong understanding of risk management and underwriting in a fintech context
• Technical proficiency in one of Python or R in a data science context and SQL
• Ability to develop and optimize risk decision algorithms
• Experience in experiment & A/B/n test design and analysis
• Experience conducting deep-dive statistical analysis (modeling, causality, regression, etc.)
• A demonstrated ability to manage and deliver on multiple projects with cross-functional teams and a high attention to detail
• Outstanding written and verbal communication skills. Ability to distill nuanced statistical findings accurately to a business audience is critical
• Knowledge of effective data visualization principles, tools, and techniques

Preferred Qualifications

• Some familiarity with dbt (our data transformation tool)
• Experience with experimentation platforms like Statsig (we use it), Optimizely, Kameleoon, or others
• Startup experience is a big plus, bonus points for B2C fintech experience
• Experience working with cloud data warehouses (we use Snowflake)
• Interest and enthusiasm for the possibilities enabled by Bitcoin and non-sovereign money

Benefits

• Competitive compensation (every shaker owns stock options)
• Benefits (health, dental, paramedical, disability, etc)
• Generous vacation time
• Work remote: work from anywhere in Canada