Risk Data Science Leader

1 week ago

Montreal, Quebec, Canada Promote Project Full time

About Shakepay

We are reimagining financial services to give every Canadian a fair chance at prosperity, security, and opportunity. Our mission is to make it bitcoin-friendly, secure, and rewarding. Backed by top venture funds with $44M+ in funding and trusted by over one million Canadians, we are shaping a future of financial freedom for all.

Lead Risk Data Scientist Role

This pivotal role demands an adept understanding of data science methodologies and state-of-the-art tools, as well as a keen product intuition and passion for enhancing user experiences while managing risk effectively. Working closely 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.

Your Responsibilities:

  • You will work with large and complex data sets to identify and solve challenging problems related to customer actions and risk decisioning using various analytical and statistical approaches.
  • You will develop and refine models for risk assessment and underwriting to enhance decision-making processes and ensure robust risk management.
  • You will define key performance indicators (KPIs) and set success and guardrail metrics for risk management.
  • You will engage in deep partnership with Product Managers to align risk decisioning efforts with strategic business goals and communicate findings with senior management.
  • You will manage controlled experiments (i.e., A/B/n tests) from design, data tracking and instrumentation, impact sizing, audience selection, and results analysis.
  • You will collaborate with other data practitioners to share knowledge and participate in the evolution of Shakepay's internal data platform, tooling, and culture.
  • You will conduct ad hoc investigations and make evidence-based recommendations that drive improvements in risk management and underwriting optimization.
  • You will stay updated with industry trends and advancements in data science, risk decisioning, and underwriting to continually enhance Shakepay's capabilities.

Requirements:

  • A minimum of 5+ years of work experience in data science or analytics.
  • A strong understanding of risk management and underwriting in a fintech context.
  • Technical proficiency in Python or R in a data science context and SQL.
  • The 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 high attention to detail.
  • Knowledge of effective data visualization principles, tools, and techniques.
  • Familiarity with dbt (our data transformation tool).
  • Startup experience is a big plus, with bonus points for B2C fintech experience.
  • Experience working with cloud data warehouses (we use Snowflake).
  • Rewarding benefits: competitive compensation ($170,000 - $250,000), health, dental, paramedical, disability insurance, generous vacation time, stock options, and continuous learning opportunities.
  • Embracing remote work: work from anywhere in Canada.
  • Fluency in English is required due to the percentage of English-speaking customers and the nature of our platform available to all Canadians.

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