Company:
Albert Bow
Location: London
Closing Date: 25/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Systematic Market Making Derivatives Strat | London | HybridMy client is a prominent market-making and programmatic trading company established in 2013, operating within the dynamic realm of cryptocurrency trading. With a global presence spanning over 5 countries and a team of over 200 professionals, they provide substantial liquidity to cryptocurrency protocols and exchanges daily. My client has earned a reputation for exceptional service, expertise, and tailored trading capabilities, fostering long-term relationships with cryptocurrency communities and traditional investors.About the Role:My client is seeking an experienced front office quantitative strategist with expertise in derivatives to join their team full-time. The role entails contributing to the development of a cutting-edge production analytics code base for their global trading operations.Responsibilities:Develop and analyze models for derivative pricingCreate data-driven solutions for algorithmic trading strategies, focusing on optionsConduct quantitative research and strategy developmentSupport trading desk with analytics across business linesContribute to pricing framework, model validation, and regulatory complianceCandidate Profile:Proficiency in numerical methods including Monte-Carlo and Stochastic CalculusExtensive knowledge of derivative products, especially optionsStrong programming skills in C++ 17/20 or Rust, PythonExcellent analytical, communication, and presentation skillsPhD or graduate degree in a quantitative field2-5 years of experience as a quant or systematic researcherBenefits:Competitive salary with bi-annual discretionary bonusesComprehensive benefits package including healthcare, dental, vision, and retirement planning30 days of holiday and free lunches when in the officeHybrid working modelRegular company events and social activitiesCorporate and Social Responsibility program with charity fundraising matching and volunteer days
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