Quantitative Developer

Summary

Experienced quantitative developer and DevOps engineer looking to utilize my technical background emphasizing futures
and derivatives trading, containerized development, parallel processing, and remote orchestration to develop trade
strategies, analytics, automate processes, and build applications for futures and derivative markets.

Expectations

Based on your resume, when looking for a new job, you seem to be seeking opportunities that allow you to:

1. **Leverage Your Expertise in Quantitative Development and DevOps Engineering:** You are interested in positions where you can apply your extensive experience in futures and derivatives trading, containerized development, parallel processing, and remote orchestration.

2. **Engage in Innovative Financial Technology Projects:** Your work history shows a preference for roles that involve developing trade strategies, analytics, and automation processes, particularly in the futures and derivatives markets. You would likely be interested in positions that allow you to continue working on cutting-edge financial technologies.

3. **Utilize Your Technical Skill Set:** You have a strong background in a variety of technical skills, including Python, Docker, Linux administration, Bash scripting, SQL, MongoDB, and more. A role that allows you to use these skills to their fullest potential would be appealing.

4. **Work in a Data-Driven Environment:** Your experience in data engineering, container orchestration, ETL processes, machine learning, and gradient-boosted models suggests you are looking for a position where data plays a central role in decision-making and strategy development.

5. **Innovate and Implement New Strategies:** Your history of developing innovative trading strategies, such as an iceberg detection system using gradient-boosted machine learning, indicates you are seeking a role where you can innovate, implement, and possibly lead projects that push the boundaries of current trading practices.

6. **Contribute to and Grow With a Team:** Your collaborative work on projects, contributions to GitHub, and involvement in competitions and conferences suggest you are looking for a dynamic team environment where you can share your knowledge, learn from others, and contribute to mutual growth.

7. **Opportunities for Leadership and Development:** Given your experience as a lead DevOps engineer and your active engagement in professional development (as evidenced by your educational achievements and extracurricular successes), you may be looking for a position that offers leadership opportunities or pathways to further develop your skills and career.

In summary, you are likely seeking a challenging and innovative role in financial technology that utilizes your extensive quantitative development and DevOps expertise, allows for significant technical and strategic contribution, and offers opportunities for leadership and professional growth.

Employment Preferences

Expected Base Salary

*,*99,999 USD

Academic Degree

Experience

Skills

• 9999999999.99Quantitative Developer
• DevOps Engineer
• Futures Trading
• Derivatives Trading
• Containerized Development
• Parallel Processing
• Remote Orchestration
• Trade Strategies
• Analytics Automation
• Python
• Docker
• Linux Admin
• Bash Scripting
• SQL
• MongoDB
• R
• VBA
• Data Engineering
• Container Orchestration
• ETL
• Machine Learning
• Gradient-boosted Models
• Applied Statistics
• Probability
• Stochastic Calculus
• Market Microstructure
• Microservices-based Trading Systems
• Low-latency Java
• Iceberg Detection
• Gradient Boosting
• Feature Generation
• Model Optimization
• Hyperparameter Tuning
• Microservices Framework
• MongoDB Cluster
• Grafana
• Code Orchestration
• CI
• CD Pipeline
• GitHub Actions
• Python Package
• Version Control
• Distributed Processing
• Cloud Infrastructure
• API Gateway
• Risk Models
• AWS API Gateway
• Dask
• Ray
• Local Database Aggregation
• CBOE Indices
• SPY Returns Prediction
• Social Media Analytics
• Elastic Net
• Random Forest
• Polynomial Regression
• Deep Neural Networks
• Pandas
• NumPy
• Scikit-learn
• PyWavelets
• Gold
• Silver Trading
• NASDAQ ITCH-5.0 Parser
• UpWork Freelance Developer
• Financial Engineering
• University
• Illinois At Urbana-Champaign
• Miami University
• Ohio
• Hull Trading MSFE Competition
• Finance Conference
• Interactive Brokers Python API
• GitHub