Quantitative Technical Leader Stock exchange multinational company is currently looking for an experienced Technical Leader to lead a team of Quantitative Developers dedicated to enhancing a Risk Management Platform. The Leader will play a pivotal role in driving innovation, ensuring technical excellence, and delivering scalable solutions to support continuous growth in terms of market share and products.
Stock exchange multinational company.
Lead and mentor a team of quantitative developers, providing tech nical guidance, support, and mentorship to foster growth and excellence.
Collaborate with Risk Management Office to understand Risk Model Specifications and translate them into tech nical solutions.
Oversee the full software development lifecycle, from requirements analysis to deployment, ensuring adherence to good
practices, coding standards, and regulatory guidelines.
Spearhead research and development efforts to explore new tech nologies, methodologies, and tools to enhance the capabilities and performance of our risk management platform.
Partner with cross-functional teams, including risk managers and product managers, to prioritize tasks, resolve tech nical challenges, and deliver high-quality solutions on time and within budget.
This role requires a strong background in quantitative finance, exceptional leader ship skills, and a proven track record of successfully managing tech nical teams.
Advanced degree (Ph.D. or Master's) in quantitative finance, mathematics, computer science, or related field
Proven experience (5+ years) in q uantitative finance, risk management, or financial engineering, preferably in a leader ship capacity
Strong programming skills in languages such as Python and Julia, with expertise in quantitative libraries (e.g., NumPy, pandas, SciPy)
Deep understanding of financial derivatives, risk modeling tech niques, and regulatory frameworks (e.g., EMIR).
Excellent leader ship, communication, and interpersonal skills, with the ability to inspire and motivate team members towards common goals
Solid project management skills, with a track record of successfully leading complex tech nical projects from conception to delivery
Knowledge of parallel computing platforms (GPU and CPU) and experience with agile development methodologies is a plus
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