DriveWealth
Staff Quantitative Developer
$220K–$240K
Office - Chicago · Staff · Full-time · Posted Sep 26, 2026
- Experience
- 6+ years of professional software development, including significant time in a senior or lead capacity.
- Education
- Bachelor's degree in Computer Science, Mathematics, Engineering, Finance, or a related quantitative field (or equivalent practical experience).
- Visa sponsorship
- Applicants must be authorized to work in the U.S. without current or future visa sponsorship; DriveWealth does not sponsor or support employment authorization, including transfers.
About the job
Build and optimize pricing and order-handling logic for a deterministic, ultra-low-latency trading system.
What you'll do
- Implement pricing and order-lifecycle logic, translating trading models and strategies into production code.
- Optimize critical-path performance and help design state persistence, clustering, failover, and recovery.
- Write automated tests and support code reviews, on-call, incident response, capacity planning, and performance tuning.
What they ask for
- Strong quantitative or financial-domain background, such as pricing, market microstructure, order matching, or trading systems.
- Experience building and maintaining low-latency, high-throughput production systems, with deep JVM-language knowledge of concurrency, memory management, and performance optimization.
- Experience with determinism and reproducibility, financial numerical precision, tabular quantitative analysis, and scenario-based testing.
- Bachelor's degree in a related field or equivalent practical experience; experience with distributed systems concepts.
Nice to have
- Experience with regulated trading venues, market data, FIX or other trading protocols, or capital-markets regulation.
- Exposure to event-driven architectures, persistence and deployment tooling, advanced quantitative study, or in-house trading platforms.
Pay
$220,000 – $240,000 USD (base salary)
Tools
JVM-based language, pandas, Polars, R, Kafka, FIX
AI focus
The company encourages using AI tools to increase signal quality, reduce friction, improve outcomes, and streamline work; no specific AI development duties are stated.
Model-written summary · the original posting is authoritative