Quantitative Trading & Research, Cross-Asset – Associate

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Description

P. Morgan and make an impact on quantitative research. This role offers exceptional career growth, exposure to cutting-edge methodologies, and the opportunity to work alongside talented professionals. You will help shape the future of algorithmic trading, financial products’ valuation and risk management, while benefiting from ongoing training and development. Be part of a collaborative environment where your skills and ideas drive innovation. As an Associate in the Quantitative Trading & Research team, you partner with business leaders to develop and maintain sophisticated mathematical models. You work closely with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You also collaborate with control functions to ensure compliance with regulatory requirements. Your work directly contributes to product innovation, risk management, and the firm’s global leadership in financial engineering. Job D. studies. , C++ or Java) and strong skills in Python • Knowledge of data structures and algorithms • Ability to work independently and in a team environment • Strategic and creative thinking in problem-solving • Excellent verbal and written communication skills, with the ability to engage and influence stakeholders Preferred Qualifications, Capabilities, and Skills • Knowledge of financial products and asset classes such as Fixed Income, Credit, Commodities, and Equities • Background in computer algorithms, Python, and specialization or significant coursework in low-level systems (operating systems, compilers, GPUs) • Understanding of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing To apply for this position, please use the following URL: [link]

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