Head of Risk Data Science

3 weeks ago

Montreal, Quebec, Canada Promote Project Full time
About Shakepay

Shakepay is revolutionizing financial services to empower every Canadian with a fair chance at financial freedom. As a fintech leader, we're making bitcoin-friendly, secure, and rewarding financial solutions accessible to all Canadians. Backed by top venture funds and trusted by over one million Canadians, we're shaping a future of financial opportunity and prosperity for all.

Head of Risk Data Science

This pivotal role demands a deep understanding of data science methodologies, state-of-the-art tools, and a keen product intuition. As the Head of Risk Data Science, you'll work closely with product managers, engineers, and designers to harness the power of data and shape, innovate, and optimize our risk decisioning processes and underwriting models.

Key Responsibilities:
  • 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.
  • 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.
  • 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).
  • Rewarding benefits: we offer competitive compensation (every shaker owns stock options), benefits (health, dental, paramedical, disability, etc), and generous vacation time.
  • Embrace continuous learning: ambitious individuals with an insatiable thirst for knowledge will feel at home. Working at Shakepay means you'll be working in an environment that encourages constant growth and development.
  • Work remote: work from anywhere in Canada.

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