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- Option execution algorithms to optimize execution for our Portfolio Managers globally.
- Analytics to support post trade analysis and TCA.
- Collaborate with quantitative analysts and traders to translate their strategies into efficient and robust code.
- Develop, optimize, and maintain software applications for options trading, primarily using C++ .
- Design and implement high-performance trading systems, ensuring reliability, scalability, and low-latency execution.
- Work closely with infrastructure teams to improve trading infrastructure, connectivity, and performance.
- Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.
- Stay up-to-date with the latest developments in technology and trading practices to continuously enhance systems.
- Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing.
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
- 10 – 12 years of work experience out of which at least 5 years of experience in building automated options trading systems.
- Deep understanding of financial markets, including equities, derivatives, options, and futures, is crucial.
- Strong knowledge of options pricing models, trading strategies, risk management, and market analysis is highly valued.
- Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory is essential for option pricing and analytics.
- Candidates should possess a solid understanding of options risk management techniques, such as delta hedging with all the products such as index options with futures etc.
- Good understanding of different option markets and market mechanisms of options market microstructure.
- Good knowledge of option auction and expiration process and the market impact.
- Good knowledge of products traded by volatility tradersEquity OptionsIndex OptionsSpreads on Equity and Index options (Complex Options)Variance Swap (Var Swap)Volatility Swap (Vol Swap)
- Strong knowledge of options trading business, including concepts, strategies, and risk management.
- Extensive experience with C++ and solid understanding of modern C++ features, multithreading, and low-level programming.
- Proficiency in software development methodologies, version control systems, and debugging tools.
- Experience with C++ testing framework such as google fixtures and code coverage tools as gcov.
- Familiarity with distributed systems, high-performance computing, and algorithm optimization.
- Excellent problem-solving and analytical skills, with the ability to quickly understand and apply complex concepts.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
- Self-motivated, detail-oriented, and able to work independently in a fast-paced environment.
- Previous experience in options trading or algorithmic trading systems development.
- Proficiency in other programming languages such as Python.
- Experience in building cloud (AWS, GCP) based volatility trading solutions for back testing and regression testing.
- Experience with building analytics tool using KDB.
- Knowledge of quantitative finance, statistical analysis, and regression.
- Familiarity with options trading markets.
Quantitative Analyst - Singapur, Singapore - Millennium Management
Description
Quantitative Developer - C++The Algo Development Trading Technology team is in the process building a new Volatility Trading system. We are developing a systematic trading platform for trading options which includes
As a Quantitative Developer, you will play a vital role in designing, implementing, and maintaining our options trading systems. This is an exciting opportunity to contribute to a dynamic and fast-paced environment, leveraging your C++ expertise and options trading business knowledge.
Responsibilities:
Requirements:
Preferred Qualifications:
If you are passionate about options trading, possess strong C++ 20 skills, and are excited about contributing to a leading options trading business, we encourage you to apply. Join us and be part of a dynamic team dedicated to pushing the boundaries of finance and technology.