Analytics Developer, Fraud and Anti-Money Laundering

Largest fintech company in Canada with over 4 million users managing more than $50 billion in assets, focused on making financial services transparent and low-cost.
Data
Mid-Level Software Engineer
Remote
1+ year of experience
Finance

Description For Analytics Developer, Fraud and Anti-Money Laundering

Wealthsimple, Canada's largest fintech company, is seeking an Analytics Developer to join their Fraud and Anti-Money Laundering (AML) teams. This role is crucial in protecting over 3 million clients and managing financial crime risks. The position offers a unique opportunity to work with financial crime detection while supporting both Fraud and AML teams in their mission to protect the platform and clients.

The role involves working with experienced engineers, product managers, data analysts, and data scientists to develop machine learning models, automated rules, and new in-app features to prevent fraud. You'll be responsible for transforming data, building metrics, and implementing robust data controls while working in a remote-first environment with over 1,000 employees across North America.

The ideal candidate should have strong SQL skills with at least one year of experience, along with knowledge of Python and data visualization tools. You'll be joining a company that values collaboration, humility, and inclusive team-building, while offering comprehensive benefits including competitive salary, health benefits, retirement savings matching, generous vacation policy, and professional development opportunities.

This position offers exposure to real-world financial crime prevention while working for a company that manages over $50 billion in assets. The role combines technical expertise with business impact, helping to mitigate millions of dollars in attempted fraud annually while maintaining a balance between risk management and client experience.

Last updated a month ago

Responsibilities For Analytics Developer, Fraud and Anti-Money Laundering

  • Transform data and build metrics to drive Fraud & AML strategy
  • Work collaboratively with stakeholders to understand data needs
  • Implement and maintain robust data controls to ensure data integrity and accuracy
  • Contribute to the broader analytics developer practice by championing best practices

Requirements For Analytics Developer, Fraud and Anti-Money Laundering

Python
  • Strong SQL skills with 1+ years of applied experience
  • Ability to develop and tailor data solutions for both technical and non-technical stakeholders
  • Experience with software engineering best practices like version control and Git
  • Experience working with Python, dbt, and data visualization software (preferred)
  • Intellectually curious and passionate about work

Benefits For Analytics Developer, Fraud and Anti-Money Laundering

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Education Budget
  • Competitive salary with top-tier health benefits and life insurance
  • Retirement savings matching plan
  • 20 vacation days per year
  • Unlimited sick and mental health days
  • Up to $1,500 per year for wellness
  • Up to $1,500 per year for professional development
  • 90 days international work program
  • Employee Resource Groups
  • Company-wide wellness days off

Interested in this job?

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