[Remote] Staff MLOps Developer, Risk at Wealthsimple

Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Finance, Risk ManagementIndustries

Requirements

5+ years of experience as a data scientist and/or machine learning engineer, with a focus on advanced models in finance
Expertise in Python, with a strong familiarity with relevant tools and libraries

Responsibilities

Implement and deploy an automated pipeline for model recalibration and re-fitting across key models, starting with those for fraud detection, to ensure models maintain optimal performance as market conditions evolve and threat actors' tactics change
Contribute to the continued development and productionization of Wealthsimple's foundational AI model, including building scalable training pipelines, optimizing model performance, and engineering systems to process diverse client signals (trades, transfers, clicks, purchases) into a unified high-dimensional embedding for downstream applications such as fraud detection, client segmentation, outlier detection
Drive model explainability (xAI) initiatives to ensure ML models meet regulatory requirements, implementing interpretability techniques to make models transparent, satisfy compliance standards, and enable faster model approval and deployment
Lead the implementation of best practices in machine learning operations to create a secure, scalable infrastructure, architecting robust ML systems that protect against cybersecurity vulnerabilities like data poisoning, model evasion, and adversarial attacks, while ensuring performant and maintainable decision infrastructure at scale

Skills

Key technologies and capabilities for this role

MLOpsML PipelinesAI/MLModel TrainingModel TuningFraud DetectionAutomated PipelinesModel RecalibrationML InfrastructurePythonCI/CDKubernetesDocker

Questions & Answers

Common questions about this position

What is the employment type for this Staff MLOps Developer role?

This is a Permanent Full Time position.

What does the quantitative risk team do?

The quantitative risk team is responsible for the data and models that protect Wealthsimple and its customers from fraud, credit and market events.

What key responsibilities will I have in this role?

You will implement and deploy an automated pipeline for model recalibration starting with fraud detection models, and contribute to the development and productionization of Wealthsimple's foundational AI model using advanced machine learning techniques and scalable training pipelines.

What is the company culture like at Wealthsimple?

Wealthsimple values collaboration, humility, simplicity, and creating inclusive high-performing teams where people can be inspired to do their best work.

What skills make a strong candidate for this MLOps role?

A strong candidate will have a deep understanding of ML operations, engineering, AI, data science expertise, and experience applying these in finance, particularly in building scalable pipelines and deploying models for fraud detection and client analysis.

Wealthsimple

Digital platform for investing and financial management

About Wealthsimple

Wealthsimple provides a range of financial tools that help individuals manage their money effectively. Their services include automated investing, where users can set up investment accounts that automatically adjust based on market conditions, and commission-free stock trading, allowing users to buy and sell stocks without paying fees. They also offer cryptocurrency investments for those interested in digital currencies and a straightforward tax filing service that is designed to be quick and user-friendly. Wealthsimple stands out from its competitors by focusing on young professionals and tech-savvy individuals, providing a digital platform that is easy to navigate and understand. The company's goal is to simplify financial management, making it accessible to everyone by using technology to create a more personal and approachable experience in finance.

Toronto, CanadaHeadquarters

2014Year Founded

$826.6MTotal Funding

LATE_VCCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Health Insurance

Life Insurance

401(k) Company Match

401(k) Retirement Plan

Paid Vacation

Unlimited Paid Time Off

Professional Development Budget

Wellness Program

Remote Work Options

Paid Holidays

Risks

Increased competition from zero-commission brokers could erode Wealthsimple's market share.

Invite-only rollout of Wealthsimple Cash may limit user adoption and growth.

Rapid cryptocurrency adoption pressures Wealthsimple to innovate its offerings continuously.

Differentiation

Wealthsimple offers a human-centric approach to finance with user-friendly digital tools.

The company provides a seamless platform for investing, trading, saving, and tax filing.

Wealthsimple targets young, tech-savvy professionals seeking accessible financial management solutions.

Upsides

Wealthsimple's AUA reached $50 billion, indicating strong market presence and growth potential.

The rise of AI-driven advisory services can enhance Wealthsimple's personalized investment offerings.

Fractional shares' popularity aligns with Wealthsimple's target demographic, boosting user acquisition.

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