Quantitative Developer at Tower Research Capital

Tower Research Capital is a globally recognized quantitative trading firm that invests heavily in cutting‑edge technology and research. As a Quantitative Developer, you will be at the heart of a high‑performance team that shapes market‑making strategies, giving you exposure to some of the most sophisticated trading systems in the industry. This role offers a rare blend of deep engineering challenges and direct impact on trading profitability, accelerating your career trajectory in fintech. Working in Gurgaon, you gain access to a vibrant ecosystem of financial technology talent while benefiting from Tower's collaborative culture that encourages experimentation and continuous learning. The firm’s emphasis on mentorship from senior engineers and portfolio managers means you’ll constantly refine both your coding craftsmanship and quantitative intuition, positioning you for future leadership roles in algorithmic trading or technology strategy.

Prepare to discuss concrete examples of low‑latency system design: be ready to explain how you profiled a C++ or Java application, reduced nanosecond‑level latency, and optimized network stack parameters. Review fundamentals of TCP/IP, UDP, kernel bypass techniques (e.g., DPDK, RDMA) and be prepared to solve on‑the‑spot coding problems that emphasize data structures, concurrency, and memory management under strict performance constraints. Beyond technical depth, Tower values the ability to translate quantitative ideas into production code. Study a simple trading algorithm (e.g., mean‑reversion) and walk through how you would implement it end‑to‑end—covering data ingestion, signal generation, risk checks, order placement via FIX, and real‑time monitoring. Demonstrating clear, structured thinking about system reliability, fault tolerance, and performance trade‑offs will differentiate you from generic candidates.