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 futuresResearch, build, and deploy new low-latency or HFT strategies using statistical and machine learning techniquesPerform advanced time-series analysis and drawdown / risk metric analysisDevelop scalable data pipelines and automate backtesting and live-trading workflowsCollaborate with traders and mentor junior quantitative researchersRequirements : 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 systemsStrong background in statistics, econometrics, and financial risk modelingExperience with live strategies on U.S. marketsProficiency in engineering practices : Git, CI / CD, performance tuningPreferred : Cloud-based backtesting (AWS or GCP)Use of ML frameworks for signal generation