Overview
On Site
Full Time
Skills
Workflow
Quantitative Analysis
Management
Python
Data Analysis
Pandas
NumPy
Applied Mathematics
Statistics
Physics
Computational Finance
Computer Science
Conflict Resolution
Problem Solving
Finance
Research
Macros
Machine Learning (ML)
Trading
Job Details
We are working with a dynamic and rapidly expanding systematic Macro team with a collaborative culture is looking for a talented Quantitative Developer with a background in quantitative trading. This role is central to building and maintaining the team's research and trading systems, overseeing live strategies, and enhancing data and execution workflows. The position offers strong potential for career advancement and direct involvement in alpha research, with a clear path toward a hybrid Quant Developer/Researcher role.
Location
New York, NY
Key Responsibilities
Desired Technical Skills
Preferred Experience
Location
New York, NY
Key Responsibilities
- Partner closely with the Senior Portfolio Manager to support the creation and refinement of systematic macro trading strategies, focusing on:
- Building and evolving internal platforms and code libraries
- Designing and managing robust data pipelines
- Monitoring and fine-tuning live trading strategies
- Developing and optimizing execution systems
- Contribute to a transparent, team-driven environment by enhancing the broader research and trading infrastructure
- Gain hands-on experience in systematic macro alpha research, with the opportunity to grow into a Quantitative Researcher/Developer position
Desired Technical Skills
- Advanced programming expertise, particularly in Python
- Strong familiarity with data analysis libraries such as Pandas, NumPy, SciPy, or Polars; proven experience developing libraries in a quantitative trading context
- Graduate degree (Master's or PhD) in a quantitative discipline such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, or Computer Science from a top-tier institution; exceptional candidates with a Bachelor's degree will also be considered
- Excellent problem-solving skills, a keen eye for detail, and a deep curiosity about financial markets
- Interest in alpha research and a potential desire to evolve into a hybrid developer/researcher role
Preferred Experience
- 2-5 years of hands-on experience in quantitative trading, with a strong emphasis on infrastructure and library development
- Familiarity with macro intraday trading strategies is a significant advantage
- Exposure to machine learning techniques applied to quantitative trading is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.