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Head of Risk Data Science

2 months ago

Montreal, Quebec, Canada Promote Project Full time
Job Title: Head of Risk Data Science

At Promote Project, we're reimagining financial services to give every Canadian their fair shake. As the Head of Risk Data Science, you'll play a pivotal role in shaping our risk decisioning processes and underwriting models.

Key Responsibilities:
  • Develop and refine models for risk assessment and underwriting to enhance decision-making processes and ensure robust risk management.
  • 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.
  • 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 our internal data platform, tooling, and culture.
  • Conduct ad hoc investigations and make evidence-based recommendations that drive improvements in risk management and underwriting optimization.
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.
  • Ability to distill nuanced statistical findings accurately to a business audience.
  • Knowledge of effective data visualization principles, tools, and techniques.
  • Some familiarity with dbt (our data transformation tool).
  • Startup experience is a big plus, bonus points for B2C fintech experience.
  • Experience working with cloud data warehouses (we use Snowflake).
What We Offer:
  • Competitive compensation (every shaker owns stock options).
  • Benefits (health, dental, paramedical, disability, etc).
  • Generous vacation time.
  • A chance to work in an environment that encourages constant growth and development.
  • The opportunity to work remotely from anywhere in Canada.