Senior Quantitative Developer
New York, NY - 399 Park Avenue, United States
Full Time Senior-level / Expert USD 150K - 200K
Millennium
Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.Senior Quantitative Developer
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation trading strategy.
Responsibilities:
We are looking for a self-motivated, organized and detail-oriented person to join our team.
The candidate will play a significant part in enhancing and maintaining our current systematic investment framework, including:
- Data Engineering: building and maintaining data pipelines
- Machine Learning: building and enhancing machine learning framework
Requirements:
- STEM background
- High Level (production level) Coding experience in Python and SQL
- Familiar with version control (github)
- Experience in cloud development (AWS EC2, Batch, S3, and Cloudwatch)
- Experience with schedulers (Airflow)
- Unix experience
- Best practices methodology regarding how to code, test, and deploy changes.
- Experience in quantitative development
- Experience with data-pipeline architecture
Preferred Qualifications:
- Bachelors, Masters or PhD in STEM
- Experience in Asset Management preferably in Equities
- Knowledge of equities
Location:
- Toronto or NY
The estimated base salary range for this position is $150,000 – $200,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
Tags: Airflow Architecture AWS Data pipelines EC2 Engineering GitHub Machine Learning PhD Pipelines Python SQL STEM
Perks/benefits: Career development Competitive pay
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