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Analytics Developer - Fraud and Anti-Money Laundering

Wealthsimple

Full-time
Canada
analytics
fraud
python
sql
machine learning
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

Your career is an investment that grows over time!

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 4 million users who trust us with more than $50 billion in assets.

Our teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.

About the team:

At Wealthsimple, our Fraud and Anti-Money Laundering (AML) teams help manage the client, regulatory and financial risk of financial crime as the business grows. We're seeking an Analytics Developer to support both teams in their mission to protect our platform and clients.

The Fraud team is responsible for enabling Wealthsimple to grow safely. We aim to balance fraud risk and client experience: our mission is to minimize fraud losses while reducing false positive fraud alerts. Comprise of experience engineers, product managers, data analysts and data scientists, we develop machine learning models, automated rules, and new in-app features to prevent fraud. Every decision we make is grounded in data to ensure we are not impacting too many or too few clients.

The Anti-Money Laundering (AML) team is responsible for detecting, responding to, and eliminating money laundering and terrorist financing risks at Wealthsimple. The AML team relies on data to detect illegal activity on the platform, and data feeds business-critical controls.

We are hiring an Analytics Developer to support the Fraud & AML teams. In this role, you'll get first-hand exposure to financial crime rings and learn how to source a wide array of client data to help identify and stop Fraud & AML trends. Your work will help mitigate millions of dollars of attempted fraud annually while protecting the financial security of over 3 million clients.

You will:

  • Transform data and build metrics to drive Fraud & AML strategy

  • Work collaboratively with stakeholders to understand the best way to solve their data needs

  • Implement and maintain robust data controls to ensure data integrity and accuracy

  • Contribute back tot he broaden analytics developer practice at Wealthsimple by championing best practices

Who you are:

  • Strong SQL skills with 1+ years of applied experience and demonstrated success in a professional setting (those candidates with more experience will be levelled commensurate with their experience)

  • Ability to develop and tailor data solutions for both technical and non-technical stakeholders

  • Seeks to reduce their workload through automation, DRY practices, & building accountability

  • Comfortable with software engineering best practices like version control and using Git

  • Intellectually curious and passionate about their work

  • Preferred qualifications: experience working with Python, dbt, data visualization softwares such as Tableau, Looker, PowerBI, etc

Why Wealthsimple?

πŸ€‘ Competitive salary with top-tier health benefits and life insurance

πŸ“ˆ Retirement savings matching plan using Wealthsimple Work

🌴 20 vacation days per year and unlimited sick and mental health days

πŸ“š Up to $1,500 per year towards wellness and professional development budgets respectively 

πŸ›« 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year 

🌎 A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS)

πŸ’– Company-wide wellness days off scheduled throughout the year

We’re a remote-first team, with over 1,000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions β€” join us!

Read our Culture Manual and learn more about how we work.

DEI Statement

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. 

Accessibility Statement

Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.

About the job

Full-time
Canada
9 Applicants
Posted 5Β months ago
analytics
fraud
python
sql
machine learning
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Analytics Developer - Fraud and Anti-Money Laundering

Wealthsimple
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

Your career is an investment that grows over time!

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 4 million users who trust us with more than $50 billion in assets.

Our teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.

About the team:

At Wealthsimple, our Fraud and Anti-Money Laundering (AML) teams help manage the client, regulatory and financial risk of financial crime as the business grows. We're seeking an Analytics Developer to support both teams in their mission to protect our platform and clients.

The Fraud team is responsible for enabling Wealthsimple to grow safely. We aim to balance fraud risk and client experience: our mission is to minimize fraud losses while reducing false positive fraud alerts. Comprise of experience engineers, product managers, data analysts and data scientists, we develop machine learning models, automated rules, and new in-app features to prevent fraud. Every decision we make is grounded in data to ensure we are not impacting too many or too few clients.

The Anti-Money Laundering (AML) team is responsible for detecting, responding to, and eliminating money laundering and terrorist financing risks at Wealthsimple. The AML team relies on data to detect illegal activity on the platform, and data feeds business-critical controls.

We are hiring an Analytics Developer to support the Fraud & AML teams. In this role, you'll get first-hand exposure to financial crime rings and learn how to source a wide array of client data to help identify and stop Fraud & AML trends. Your work will help mitigate millions of dollars of attempted fraud annually while protecting the financial security of over 3 million clients.

You will:

  • Transform data and build metrics to drive Fraud & AML strategy

  • Work collaboratively with stakeholders to understand the best way to solve their data needs

  • Implement and maintain robust data controls to ensure data integrity and accuracy

  • Contribute back tot he broaden analytics developer practice at Wealthsimple by championing best practices

Who you are:

  • Strong SQL skills with 1+ years of applied experience and demonstrated success in a professional setting (those candidates with more experience will be levelled commensurate with their experience)

  • Ability to develop and tailor data solutions for both technical and non-technical stakeholders

  • Seeks to reduce their workload through automation, DRY practices, & building accountability

  • Comfortable with software engineering best practices like version control and using Git

  • Intellectually curious and passionate about their work

  • Preferred qualifications: experience working with Python, dbt, data visualization softwares such as Tableau, Looker, PowerBI, etc

Why Wealthsimple?

πŸ€‘ Competitive salary with top-tier health benefits and life insurance

πŸ“ˆ Retirement savings matching plan using Wealthsimple Work

🌴 20 vacation days per year and unlimited sick and mental health days

πŸ“š Up to $1,500 per year towards wellness and professional development budgets respectively 

πŸ›« 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year 

🌎 A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS)

πŸ’– Company-wide wellness days off scheduled throughout the year

We’re a remote-first team, with over 1,000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions β€” join us!

Read our Culture Manual and learn more about how we work.

DEI Statement

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. 

Accessibility Statement

Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.

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