Senior Data Scientist

We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You'll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. You'll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.

What you'll be doing

Champion a data-first approach across internal teams and client engagements, promoting clarity and impact

Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production

Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies

Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients

Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations

Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience

Create and automate self-serve dashboards leveraging BI tools

Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation

Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions

What you'll need

7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts

Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have

Expertise in BI tools such as Tableau, Sigma, or Metabase

Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and communicate findings effectively to both technical and non-technical audiences, including clients

Sharp critical thinking and creative problem-solving skills with a bias toward action

Proficiency in defining, tracking, and communicating performance metrics

Benefits we offer:

Generous compensation in cash and equity

Early exercise for all options, including pre-vested

Work from anywhere: Remote-first Culture

Flexible paid time off and Year-end break

Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific

4% matching in 401k / RRSP - US and Canada specific

MacBook Pro delivered to your door

One-time stipend to set up a home office — desk, chair, screen, etc.

Monthly meal stipend

Monthly social meet-up stipend

Annual health and wellness stipend

Annual Learning stipend

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

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