Quantitative Developer
Dime Line Trading, Inc.
Chicago, IL, United States
22 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Algorithmic Trading
Computer Programming
Python (Programming Language)
Linux System Administration
Machine Learning
Object-Oriented Software Development
SQL Databases
Information Technology
Low Latency
Job description
- Independently conduct research with a focus on statistical and predictive models
- Manage all aspects of the research process, including methodology selection, data collection and analysis, prototyping, backtesting, and performance monitoring
- Maintain and clean datasets with an eye for missing or incorrect data
- Evaluate new datasets for predictive potential
- Implement models in Python
- Enhance and improve the trading system, working on operational tasks as needed
- Other duties as assigned
Requirements
- A degree in Math, Computer Science, or related field
- 3 years of related experience
- Strong programming skills
- Any amount of experience conducting research on datasets and designing, developing and implementing statistical and machine learning models from this data
-
Any amount of experience testing and improving low latency optimization models for use in production settings in Linux environments
- Any amount of experience analyzing and improving central limit order book statistical trading algorithms
- Any amount of experience developing and maintaining Object Oriented codebases/libraries
- Any amount of experience interacting with and manipulating SQL databases and APIs to facilitate development of real time models
- Predictable and reliable availability
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