Risk Data Science Lead

About Shakepay

Join a dynamic team at Shakepay aiming to usher in the Bitcoin golden age. Shakepay is devoted to transforming financial services for all Canadians by fostering a bitcoin-friendly, secure, and rewarding environment. Since its establishment in 2015, Shakepay has rapidly grown to become one of Canada’s premier financial institutions. Supported by leading venture funds and with over one million trusted Canadian users, Shakepay offers a chance to shape a future filled with financial freedom and prosperity.

Role Overview

As the Risk Data Science Lead at Shakepay, you hold a critical position in advancing the company's vision. With the ever-expanding range of products and features, your role involves ensuring a seamless customer experience while effectively managing risks. This role requires expertise in data science methodologies, cutting-edge tools, product intuition, and a dedication to enhancing user experiences while mitigating risks efficiently. Collaborating closely with product managers, engineers, and designers, you will leverage data to innovate and optimize risk decision processes and underwriting models.

Key Responsibilities

• Work with extensive and intricate datasets to address challenges related to customer actions and risk management using various analytical and statistical approaches.
• Enhance decision-making processes and ensure robust risk management by refining risk assessment models and underwriting strategies.
• Establish critical performance indicators (KPIs) and define success metrics for risk management.
• Partner closely with product managers to align risk management with business goals and communicate insights to senior management.
• Conduct controlled experiments such as A/B tests from design to analysis, facilitating effective decision-making.
• Collaborate with fellow data practitioners to collaborate on Shakepay’s internal data platforms and tools evolution.
• Provide evidence-based recommendations through ad hoc investigations to drive enhancements in risk management and underwriting strategies.
• Stay informed about industry trends in data science, risk management, and underwriting to enhance Shakepay’s capabilities continuously.

Requirements

• Over 5 years of experience in data science or analytics.
• Deep understanding of risk management and underwriting within a fintech environment.
• Proficiency in Python or R for data science and SQL.
• Ability to create and optimize risk decision algorithms.
• Experience with experiment and A/B/n test design and analysis.
• Proficient in statistical analysis, modeling, causality, regression, etc.
• Track record of managing multiple projects and collaborating effectively with cross-functional teams.
• Excellent written and verbal communication skills with the ability to convey complex statistical findings to a non-technical audience accurately.

Preferred Qualifications

• Familiarity with experimentation platforms like Statsig, Optimizely, Kameleoon, etc.
• Previous experience in startups, particularly in B2C fintech.
• Experience working with cloud data warehouses such as Snowflake.
• Interest in Bitcoin and non-sovereign money possibilities.

Why Choose Shakepay

• Groundbreaking opportunity to contribute to financial innovation with Bitcoin at the forefront.
• Significant potential for impact and growth, reaching more Canadian users.
• Competitive compensation, inclusive benefits, and flexible vacation time.
• Emphasis on continuous learning and individual growth.
• Option to receive a portion of salary in Bitcoin.
• Remote work flexibility across Canada.

We value potential as much as experience and encourage individuals from all backgrounds to apply. Fluency in English is required due to the platform's nature and English-speaking clientele.