Overview
On Site
Full Time
Skills
Research
Analytics
Distributed Computing
Computer Science
Mathematics
Quantitative Analysis
Python
C++
Java
Rust
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
Data Warehouse
Extract
Transform
Load
Snow Flake Schema
Databricks
Amazon Redshift
Communication
Finance
Real-time
Data Processing
Management
Trading
Decision-making
Innovation
Adaptability
Job Details
Key Responsibilities
Qualifications
Preferred Experience
Why Join Us
- Develop and maintain infrastructure for research, signal generation, backtesting, and live trading.
- Build scalable data pipelines for ingesting and processing structured and unstructured datasets.
- Support both systematic and discretionary teams with custom tooling and analytics platforms.
- Contribute to cloud-native architecture and distributed computing environments.
- End-to-end software projects from design to deployment and monitoring.
Qualifications
- Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
- 5+ years of experience as a Quant Dev.
- Strong programming skills in Python and at least one compiled language (e.g., C++, Java, Rust).
- Experience with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes).
- Familiarity with modern data warehousing and ETL tools (e.g., Snowflake, Databricks, Redshift).
- Ability to work effectively across multiple trading styles and asset classes.
- Excellent communication skills and a collaborative mindset.
Preferred Experience
- Prior exposure to financial markets, sports betting, or alternative data domains.
- Experience building tools for discretionary traders or analysts.
- Familiarity with real-time data processing and low-latency systems.
Why Join Us
- Work in a fast-paced, intellectually stimulating environment with direct exposure to trading and investment decision-making.
- Be part of a team that values innovation, adaptability, and continuous learning.
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.