Principal Machine Learning Engineer

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FactSet

10,000+ employees

Founded 1982

💼 Consulting

📣 Marketing

🛡️ Insurance

Consulting • Marketing • Insurance

FactSet is a global provider of integrated financial information and analytical applications for investment professionals. The company offers a wide range of solutions including asset management, risk analysis, investment research, and portfolio management tools. With a focus on utilizing artificial intelligence and data solutions, FactSet helps financial firms and investment professionals efficiently manage data, make informed decisions, and drive innovation. They leverage their technology to provide comprehensive insights and analytics across various asset classes. Over the past 40 years, FactSet has become a trusted partner for asset managers, consultants, hedge funds, and other financial institutions worldwide.

📋 Description

• Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions • Develop and implement diverse machine learning models, emphasizing text data classification and natural language processing • Leverage AI to transform data insights and enhance domain-specific applications • Integrate multiple machine learning approaches to achieve superior results • Serve as a key technical leader and provide thought leadership on best practices • Collaborate cross-functionally with product teams to align AI capabilities with strategic business goals • Stay current with emerging technologies and trends to continuously improve AI solutions

🎯 Requirements

• Master’s degree in Computer Science, Mathematics, Statistics, or related technical field • 6 years of related technical experience • 3 years of experience with Node.js, MongoDB, RabbitMQ, Redis or Memcached, Git, RESTful Web Design, time series data, Python, Elasticsearch, scikit-learn, NumPy, and spaCy • 3 years of experience applying ML techniques including SVM, logistic regression, decision trees, random forests, XGBoost, and deep learning such as RNN/LSTM to domain-specific text classification • 3 years of experience with NLP data mining, cleaning, preprocessing, and transformation • 3 years of experience combining active, supervised, and semi-supervised learning approaches • 3 years of experience developing tagged datasets

🏖️ Benefits

• Internal FactSet employee referral program eligibility • External referral pilot program in the United States offering a monetary reward to eligible referrers • Equal employment opportunity protections • E-Verify participation

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