Quantitative Developer

We are partnered with a market-leading Quantitative investment firm that is looking for a Quantitative Developer in the Equities space to join a small, fast-paced team comprised of a Portfolio Manager, Quant researcher, and Software Engineer. Day to Day: Work closely with the Portfolio Manager to create data engineering and prediction tools primarily for the strategic trading of commodities Create software engineering solutions for quantitative analysis and trading Aid in conceptualizing, programming, and maintaining tools for the strategic trading infrastructure of the team Establish and sustain resilient data pipelines and databases that receive and convert substantial amounts of data Develop procedures to verify the accuracy of the data Implementation and management of systems to facilitate quantitative analysis (e.g., large-scale computation and serialization frameworks) Real-time operation of such systems, including monitoring and preemptive identification of potential issues and intervention Keep abreast of cutting-edge technologies and tools, including technical libraries, computing environments, and academic research Engage with the PM and the trading group in an open environment, participating in the entire investment process Technical Abilities: Advanced proficiency in Python Adept in contemporary data science tool stacks (Jupyter, Pandas, Numpy, SciPy) with experience in machine learning Bachelor's or Master's degree in Computer Science or a related STEM field from a top-rated university Skilled in quantitative analysis, mathematical modeling, statistics, regression, and probability theory Proficient in professional software development methods, version control systems, unit testing and debugging tools, and microservices architecture Excellent communication, problem-solving, and analytical skills, with the ability to swiftly grasp and apply intricate concepts Ideal Background: Over 2 years of experience in developing algorithmic trading systems, particularly in strategic Equity trading markets. Experience collaborating effectively with cross-functional teams, juggling multiple tasks, and adapting to a fast-paced environment