Risk Data Science Lead

July 13

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Shakepay

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Shakepay is ushering in the Bitcoin Golden Age

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Description

• As a Risk Data Science Lead, your role is pivotal in Shakepay’s journey • Work with large and complex data sets to identify and solve challenging problems related to customer actions and risk decisioning with various analytical and statistical approaches • Develop and refine models for risk assessment and underwriting to enhance decision-making processes and ensure robust risk management • Define key performance indicators (KPIs) and set success and guardrail metrics for risk management • Engage in deep partnership with Product Managers to align risk decisioning efforts with strategic business goals and communicate findings with senior management • Manage controlled experiments (i.e., A/B/n tests) from design, data tracking and instrumentation, impact sizing, audience selection, and results analysis • Collaborate with other data practitioners to share knowledge and participate in the evolution of Shakepay’s internal data platform, tooling, and culture • Conduct ad hoc investigations and make evidence-based recommendations that drive improvements in risk management and underwriting optimization • Stay updated with industry trends and advancements in data science, risk decisioning, and underwriting to continually enhance Shakepay’s capabilities

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 • Some familiarity with dbt (our data transformation tool)

Benefits

• Competitive compensation (every shaker owns stock options) • Health, dental, paramedical, disability, etc • Generous vacation time