Tower Research Capital · 1 day ago
Quantitative Developer
Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its high-performance platform and innovative trading strategies. They are seeking a Quantitative Developer to join the Core Engineering team, focusing on building Quantitative Execution Services and enhancing the firm's Mid-Frequency Trading capabilities.
Financial Services
Responsibilities
Design, implement, and maintain high performance services in Rust and Python for our execution desk, including algo wheel, smart order routers, internalisers, etc
Partner closely with our quantitative researchers to take research prototypes to production: refactoring, adding tests, telemetry, SLIs/SLOs, and CI/CD automation
Write robust pipelines for market‑data ingestion, model training/inference, and post‑trade analytics
Optimize for reliability and performance (throughput, tail‑latency, memory footprint) on distributed systems running in production trading environments
Establish best practices in code quality, observability, and on‑call readiness; write clear documentation to enable effective collaboration across research and engineering
Qualification
Required
Bachelor's or Master's degree in Computer Science, Mathematics, or a related STEM field
2–5 years of professional software‑engineering experience, including production systems written in Python or Rust
Proficiency in a systems language—Rust preferred (C++/Go also acceptable)—and a desire to deepen that expertise
Strong CS fundamentals: algorithms, data structures, concurrency, networking, and performance profiling
Experience with real‑time and/or historical market data, or other high volume time series data
Familiarity with SQL and at least one columnar/time‑series store (e.g., kdb+, ClickHouse, InfluxDB, Parquet/Arrow)
Proficiency with Linux development, Git, containers, and CI/CD workflows
Excellent problem‑solving abilities, attention to detail, and clear communication skills
Preferred
Hands‑on exposure to execution algos, TCA, order routing, or market‑impact modeling
Understanding of broker and exchange order entry APIs, and FIX/native protocols
Experience building distributed systems with message buses (Kafka, ZeroMQ) and asynchronous I/O (e.g. tokio)
Knowledge of statistical/ML libraries and tooling (NumPy, pandas, scikit‑learn, PyTorch); experience shipping inference in production
Experience with cloud or on‑prem orchestration and scheduling (Kubernetes, Ray, HTCondor, SLURM)
Benefits
Generous paid time off policies
Savings plans and other financial wellness tools available in each region
Hybrid working opportunities
Free breakfast, lunch and snacks daily
In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
Volunteer opportunities and charitable giving
Social events, happy hours, treats and celebrations throughout the year
Workshops and continuous learning opportunities
Company
Tower Research Capital
Tower Research Capital is a computerized trading firm in the field of high-frequency trading.
H1B Sponsorship
Tower Research Capital has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (35)
2023 (31)
2022 (44)
2021 (31)
2020 (35)
Funding
Current Stage
Late StageRecent News
2025-11-19
vcnewsdaily.com
2025-10-11
Venture Capital Firms
2025-10-10
Company data provided by crunchbase