Vice President, Quantitative Researcher, Algorithmic Trading Greater Mumbai, India Area

The Company is seeking a Vice President, Quantitative Researcher for Algorithmic Trading. The successful candidate will be responsible for researching and developing quantitative techniques to enhance the performance, execution quality, and trading outcomes of the company's algorithmic trading products. This role requires the application of concepts from high-frequency trading, market making, and electronic market microstructure to real-world trading problems. The ideal candidate will have a strong background in quantitative R&D, with a focus on high-frequency trading, electronic market making, or a related systematic trading environment, and will be adept at analyzing large-scale market data to identify opportunities for improving trading decisions. Applicants should have a minimum of 3 years' professional experience in a relevant field and a degree in a highly quantitative discipline. Key qualifications include strong programming skills in a low-latency language such as C++, Java, or Rust, and proficiency in Python for data analysis and modeling. Experience with full-depth order book data, event-driven market simulation, and a range of statistical and quantitative modeling techniques is essential. The role also demands a deep understanding of electronic market microstructure and the ability to design and implement high-fidelity simulations to evaluate trading strategies. The candidate should be capable of translating research into high-performance implementations and be experienced in working with global teams to bring research from hypothesis to production.

Hiring Company

Morgan Stanley