Head of Risk Data Science

3 months ago

Montreal, Canada Promote Project Full time
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About Shakepay

Shakepay is reimagining financial services to give every Canadian their fair shake, by making it bitcoin-friendly, secure, and rewarding. Backed by top venture funds having raised $44M+ and trusted by over one million Canadians and counting. People who choose careers at Shakepay are helping shape a future of financial freedom, opportunity, and prosperity for all Canadians.

Head of Risk Data Science

As the Head of Risk Data Science, your role is pivotal in Shakepay’s journey. As we continue to add more products and features, your role will be to make sure that our customer experience remains delightful, while managing downside risk. This position demands not only an adept understanding of data science methodologies and state-of-the-art tools but also a keen product intuition and a passion for enhancing user experiences while managing risk effectively. Working hand-in-hand with product managers, engineers, and designers, you will harness the power of data to shape, innovate, and optimize our risk decisioning processes and underwriting models.

You will

  • 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.

Must have

  • 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.

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