Senior Associate, AML Analytics

Wealthsimple Inc.; Canada; Remote; CAD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company dedicated to financial freedom and innovation. As a member of the Anti-Money Laundering team, you will leverage your data expertise to enhance detection models and analyze large datasets, playing a crucial role in combating financial crime. Collaborate with cross-functional teams to drive impactful solutions that protect clients and improve compliance. This role offers a unique opportunity to contribute to a mission-driven organization that values transparency and inclusivity. If you are passionate about making a difference in the financial sector, this is the perfect opportunity for you.

Benefits

Competitive salary

Top-tier health benefits

Retirement savings matching plan

20 vacation days per year

Unlimited sick and mental health days

Wellness budget

Professional development budget

90 days away program

Employee Resource Groups

Company-wide wellness days off

Qualifications

• Strong data skills with experience in AML or fraud risk functions.
• Ability to communicate findings to both technical and non-technical stakeholders.

Responsibilities

• Create and improve detection models for suspicious activities.
• Analyze large datasets to identify patterns related to financial crime.

Skills

Data Analysis

SQL

Risk Assessment

Communication Skills

Problem Solving

Education

Bachelor's Degree

Financial Crime Certification (CAMS, CFCS, CFE)

Tools

Tableau

Looker

PowerBI

Snowflake

Redshift

MySQL

Job description

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:

The Anti-Money Laundering (AML) team detects, responds to, and eliminates money laundering and terrorist financing risks at Wealthsimple. Alongside compliance and operational experts, you will help to improve & strengthen Wealthsimple's AML program, helping to stop financial crime.

A typical week in this role would have you solving data problems in a fast-paced environment that prioritizes shipping and iterating new features for our clients. We are looking for an experienced data expert to deliver data-backed decisions about how to adjust our AML detection and operations strategy.

The AML team is at the forefront of every new feature launch, and you will get the opportunity to collaborate with product, technology, and compliance while seeing your work create significant impacts to the business. You believe that a strong foundation in compliance is key to innovation in financial services, and are excited about working with cross-functional teams in service of better products and protection for clients.

What you will do:

• Create & improve detection models to identify transaction patterns and suspicious activities while minimizing false positives
• Extract, transform, and analyze large datasets to identify patterns, trends, and anomalies related to financial crime
• Refine risk-scoring models to quantify the level of AML risk associated with clients
• Develop dashboards to provide insights that enhance program effectiveness
• Share AML trends and performance with senior AML leadership

Who you are:

• Has strong data skills with applied experience in a risk function like AML or fraud
• Experience using SQL to conduct quantitative analysis, and synthesizing results into actionable proposals
• Can develop and communicate stories to both technical and non-technical stakeholders
• Is able to internalize and weigh information to come to balanced decisions
• Is intellectually curious and passionate about their work

Preferred qualifications:

• Experience working in AML or a compliance function
• Experience working with data visualization softwares such as Tableau, Looker, PowerBI, etc
• Experience working with databases like Snowflake, Redshift, MySQL
• A financial crime related certification (e.g. CAMS, CFCS, CFE)

Why Wealthsimple?

Competitive salary with top-tier health benefits and life insurance.

Retirement savings matching plan using Wealthsimple Work.

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

Up to $1,500 per year towards wellness and professional development budgets respectively.

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).

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 — 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.