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Quantitative Finance Researcher
2 months ago
IMC Inc is seeking skilled quantitative analysts specializing in Fixed Income to innovate trading strategies and valuation models across the US Interest Rate Curve. The successful candidates will play a pivotal role in merging IMC's market-making expertise with sophisticated modeling of US Government Bonds and yield curve assessments.
Key Responsibilities:
- Analyze existing models and algorithms to incorporate new Fixed Income functionalities and risk parameters.
- Leverage a blend of system knowledge, mathematical methodologies, and trading insights to enhance our trading infrastructure.
- Quickly explore, evaluate, and prototype novel algorithmic concepts, ideally utilizing Python.
- Ensure high-quality execution of concepts leading to full-scale trading operations.
- A minimum of 2 years of experience as a quantitative analyst, particularly in the pricing of US Government Bonds or Treasury Bond basis.
- Familiarity with Short-Term Interest Rate (STIR) products and Corporate Fixed Income instruments.
- Advanced academic qualifications (graduate or postgraduate) with strong performance, preferably in mathematics, science, financial engineering, or computer science.
- Proficient programming skills in Python, Java, or C++ are preferred.
- Demonstrated success in quantitative modeling and algorithm development.
IMC Inc is a prominent trading firm recognized globally for its cutting-edge, low-latency technology and exceptional execution capabilities. For over three decades, we have been a stabilizing force in the financial markets, providing essential liquidity that our partners rely on. With offices across various regions, our talented workforce is united by an entrepreneurial spirit, a strong culture, and a commitment to community engagement. This solid foundation enables us to expand and introduce new capabilities continuously. We embrace the challenge of entering dynamic markets, fostering a state-of-the-art research environment, and diversifying our trading strategies.