Quantitative Analyst Quantitative Analyst …

Anson McCade
in London, United Kingdom
Permanent, Full time
Last application, 23 Oct 20
GBP60 - GBP150 per annum
Anson McCade
in London, United Kingdom
Permanent, Full time
Last application, 23 Oct 20
GBP60 - GBP150 per annum
Create, implement, and support quantitative models for the trading business leveraging a wide variety of mathematical and computer science methods and tools including hardware acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/ programming and statistics and probability

Commodities Quant - Assoc/VP level

London based

Responsibilities:

  • Develop analytics libraries used for pricing and risk-management
  • Create, implement, and support quantitative models for the trading business leveraging a wide variety of mathematical and computer science methods and tools including hardware acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/ programming and statistics and probability
  • Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers.
  • Collaborate closely with Traders, Structurers, and technology professionals
  • Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance in order to ensure appropriate governance and control infrastructure
  • Build a culture of responsible finance, good governance and supervision, expense discipline and ethics
  • Appropriately assess risk/reward of transactions when making business decisions; and ensure that all team members understand the need to do the same, demonstrating proper consideration for the firm's reputation.

Qualifications

  • Experience in a comparable quantitative modeling or analytics role, ideally in the financial sector
  • Must have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex contracts; and Software design and principles
  • Must also possess any level of product knowledge, Investments and Quantitative Methods
  • Consistently demonstrates clear and concise written and verbal communication skills

Education

  • Masters/PhD, or equivalent degree
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