Lead Quantitative Analyst - Algorithmic Trading Strategies

Our client is a premier financial institution seeking an exceptional Lead Quantitative Analyst to spearhead the development and implementation of sophisticated algorithmic trading strategies. This critical role, based in the heart of Houston, Texas, US , will involve designing, backtesting, and deploying complex mathematical models that drive our firm's trading operations. You will work at the intersection of finance, mathematics, and computer science, pushing the boundaries of quantitative finance to achieve superior market performance. This is an on-site position, fostering deep collaboration within our dedicated trading floor.

Responsibilities: Develop, test, and optimize high-frequency and low-frequency trading algorithms across various asset classes. Conduct in-depth quantitative research to identify new trading opportunities and refine existing strategies. Implement and maintain robust backtesting frameworks to rigorously evaluate strategy performance. Collaborate with traders and portfolio managers to understand market dynamics and incorporate their feedback into strategy design. Write clean, efficient, and production-ready code in languages such as Python, C++, or R. Monitor live trading systems, identify potential issues, and implement timely solutions. Analyze large datasets to extract actionable insights and patterns related to market behavior. Stay current with the latest trends and academic research in quantitative finance, machine learning, and statistical modeling. Present complex quantitative findings and strategy proposals to senior management and stakeholders. Contribute to the architectural design and scalability of our trading infrastructure. Ensure compliance with all relevant financial regulations and internal risk management policies. Qualifications: Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Computer Science, or Physics. Proven experience (5+ years) in quantitative analysis, algorithmic trading, or quantitative portfolio management. Strong programming skills, with a high degree of proficiency in Python and/or C++. Experience with R or Kdb+/q is a plus. Deep understanding of financial markets, derivatives, and statistical arbitrage techniques. Expertise in time-series analysis, machine learning, and statistical modeling. Experience with large-scale data manipulation and database technologies. Excellent problem-solving abilities and a strong attention to detail. Ability to work under pressure in a fast-paced trading environment. Strong communication and interpersonal skills, with the ability to explain complex concepts clearly. Demonstrated success in developing and deploying profitable trading strategies. This is a unique opportunity to join a highly successful trading team in Houston, Texas, US , and significantly impact our firm's success. We offer a competitive compensation package, performance-based bonuses, and excellent career advancement opportunities.