Quantitative Developer – Uprety Capital

Uprety Capital is hiring a Quantitative Developer to improve and scale our live algorithmic trading strategies running on the Interactive Brokers (IBKR) platform. You'll be responsible for the full lifecycle of strategy development—including quantitative research, model design, backtesting, implementation, and live deployment—in a fast-paced, results-driven environment. Responsibilities: Audit, debug, and enhance existing IBKR TWS Python strategies for equities, options, and futures Research, build, and deploy new low-latency or HFT strategies using statistical and machine learning techniques Perform advanced time-series analysis and drawdown/risk metric analysis Develop scalable data pipelines and automate backtesting and live-trading workflows Collaborate with traders and mentor junior quantitative researchers Requirements: 5+ years of experience in quantitative research or development (equities, options, or futures) Deep experience with Python (including multithreading, async) and IBKR API (ib_insync preferred) Proven work in HFT or latency-sensitive algorithmic systems Strong background in statistics, econometrics, and financial risk modeling Experience with live strategies on U.S. markets Proficiency in engineering practices: Git, CI/CD, performance tuning Preferred: Cloud-based backtesting (AWS or GCP) Use of ML frameworks for signal generation

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