Staff MLOps Developer, Risk

November 19

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Wealthsimple

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Finance • Fintech • Investing

Wealthsimple is a financial technology company based in Canada that offers a range of investment and financial services. They provide managed investing options with custom portfolios tailored to individual goals, and offer self-directed investing to take control of trading stocks, ETFs, and cryptocurrencies commission-free. Wealthsimple also provides high-interest cash accounts, various retirement savings accounts, and a comprehensive set of tools for personal finance management. With over 3 million users, they emphasize low fees, transparency, and personalized financial advice.

501 - 1000 employees

Founded 2014

💸 Finance

💳 Fintech

💰 Private Equity Round on 2021-05

📋 Description

• Implement and deploy an automated pipeline for model recalibration and re-fitting across key models, starting with those for fraud detection. • Contribute to the continued development and productionization of our foundational AI model. • Classify signals associated with known fraud types. • Group clients based on their unique behaviours. • Identify abnormal behaviours and patterns beyond traditional fraud, enhancing our ability to maintain a secure and trustworthy platform. • Drive model explainability (xAI) initiatives to ensure ML models meet regulatory requirements and can be successfully deployed to production environments. • Lead the implementation of best practices in our machine learning operations to create a secure, scalable infrastructure.

🎯 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 key data science & machine learning libraries and tools. (PyTorch/TensorFlow/LightGBM/Scikit-Learn). • Ownership of the design and development of an ML platform: demonstrated experience in productionalizing ML models, with a track record of owning the platform for ML model development, from prototyping to deployment and maintenance. • Solid knowledge of data engineering and preprocessing, including handling large datasets, ensuring data quality, and managing data pipelines. • Excellent communication skills, with the ability to convey complex ideas in a simple, clear, and engaging manner for a variety of audiences. • Outstanding interpersonal skills, demonstrated through the ability to thrive in highly collaborative settings and contribute positively to team-oriented environments. • Familiarity with key deep learning and LLM concepts such as tokenization, fine-tuning, sequence prediction, embedding. • Experience optimizing the runtime of training or inference on GPUs including parallel training strategies, optimal batching, mixed precision. • Familiarity with AI ethics and responsible AI practices, with a commitment to ensuring that our solutions are not only effective but also ethical and fair. • Experience with relevant data platforms like kafka, snowflake, redshift. • Experience with ML development platform and cloud environments like AWS and SageMaker. • Experience with distributed systems, containerization (Docker/Kubernetes), and workflow orchestration (Airflow). • Experience with CI/CD tools and working with Git.

🏖️ Benefits

• Competitive salary with top-tier health benefits and life insurance • Retirement savings matching plan using Wealthsimple for Business • 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