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Flow Traders

Senior Research Engineer

Reposted 16 Days Ago
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In-Office
Chicago, IL
185K-210K Annually
Senior level
Easy Apply
In-Office
Chicago, IL
185K-210K Annually
Senior level
Lead the development of a trading model research framework, integrating it with production platforms, and creating tools for quantitative trading.
The summary above was generated by AI

Flow Traders is looking for a Senior Research Engineer to join our Chicago office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities. 

As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.

What You Will Do
  • Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production
  • Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals
What You Need to Succeed
  • Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
  • 8+ years of hands-on experience MLOps, Research Engineering, or ML Research
  • A strong background in mathematics and statistics
  • Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray.
  • Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
  • Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
  • Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)

At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities. When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set. We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company’s success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution.


The total compensation for this role includes a base of $200,000-$250,000 plus annual discretionary variable remuneration.


Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

Top Skills

AWS
Azure
Docker
GCP
Hadoop
Kubernetes
Python
PyTorch
Restful Apis
Scikit-Learn
Spark
TensorFlow

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