Global Stock Selection Research - Analyst

Quant Blueprint LLC; Chicago (IL); On-site; USD 185,000 - 210,000; Full time

Job summary

Flow Traders in Chicago is seeking a Senior Research Engineer to lead the research framework and productionize trading models. You will expand the framework to set a global standard for training, combining, and transforming data in a data-driven way.

You will design end-to-end ML pipelines, deploy models via REST and microservices, and work with big data technologies in a production environment. This role requires an advanced degree and 5+ years of relevant experience.

Qualifications

• Advanced degree (Master's or PhD) in a relevant field.
• 5+ years hands-on experience in MLOps and Research Engineering.
• Proficient in Python with ML libraries TensorFlow, PyTorch, scikit-learn.
• End-to-end ML pipelines: preprocessing, training, deployment, monitoring.
• Experience designing and deploying systematic trading systems.
• Experience with RESTful APIs and microservices for model serving.
• Familiarity with AWS/Azure/GCP and Big Data (Hadoop, Spark).
• Ability to visualize data and interact with data sources and teams.

Responsibilities

• Lead the development and rollout of our research framework for training models.
• Develop tools for Quant Researchers and Traders to test hypotheses and tune strategies.
• Collaborate with business stakeholders to refine requirements and iterate on design.

Skills

MLOps

Research engineering

Python

TensorFlow

PyTorch

scikit-learn

ML pipelines

REST APIs

Microservices

Big Data

Hadoop

Spark

Docker

Kubernetes

Cloud platforms

Education

Master's or PhD in a relevant field

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

Hadoop

Spark

Job description

Flow Traders is looking for a Senior Research Engineer to join us in 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 its integration with our platform for deploying/running those models in production. You'll be responsible for expanding the current (limited) scope of the framework and platform to become the global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way.

What you will do

• 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
• Develop tools/frameworks for use by our Quantitative Researchers and Traders to test hypotheses and tune/develop data-driven systematic trading strategies
• Work with the business to refine requirements, collect feedback, and iterate on design and implementation of research tools

What you need to succeed

• Advanced degree (Master's or PhD) in a relevant field
• 5+ years of hands‑on experience in MLOps and Research Engineering
• Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit‑learn
• Demonstrated experience in designing and implementing end‑to‑end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
• Prior commercial experience in designing and implementing systematic trading systems
• Experience in developing and deploying RESTful APIs and microservices for model serving
• Familiarity with Big Data technologies such as Hadoop and Spark
• Experience with data visualization and reporting tools
• Familiarity with databases and query languages for data extraction and transformation
• Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
• Solid 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 $185,000-$210,000 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.*