Entry Level Quantitative Research Position – Cross Asset Class

  • Competitive Market Rate
  • London, England, United Kingdom
  • Permanent, Full time
  • Anson McCade
  • 18 Aug 17

My client has the need for an entry level graduate who is looking to take their first steps into industry within a quantitative environment. This is a great opportunity to have the freedom to focus on a mixture of asset derivatives or trading desks. The role offers the freedom to learn numerous business areas along with its product and models, while contributing to model development and model support effort for the areas.

Entry Level Quantitative Research Position – Cross Asset Class

 

Job Summary:

 

My client has the need for an entry level graduate who is looking to take their first steps into industry within a quantitative environment. This is a great opportunity to have the freedom to focus on a mixture of asset derivatives or trading desks.  The role offers the freedom to learn numerous business areas along with its product and models, while contributing to model development and model support effort for the areas.

 

Core Responsibilities:

 

•           Develop models and implement them in software for pricing and risk managing derivatives.

•           Develop pricing and calibration tools.

•           Benchmark and compare results of various techniques

•           Implement products using pricing engines and models

•           Explain model behaviour and predictions to traders, identify major sources of risk in portfolios, carry out scenario analyses, provide guidance / debug analytics

•           Rapid prototyping of models and products

 

Essential skills, experience, and qualifications:

 

•           PhD or equivalent degree from top tier schools/programs in Math, Math Finance, Physics, or Engineering

•           Excellence in probability theory, stochastic processes, partial differential equations, and numerical analysis

•           Very strong analytical and problem solving abilities

•           C++ / Python coding with emphasis on numerical methods

•           Good communication skills.

 

Desirable skills/experience:

 

•           Deep understanding of options pricing theory (i.e. quantitative models for pricing and hedging derivatives) an advantage

•           Strong interest in trading and extracurricular involvement in societies

•           Market knowledge

 

Additional information:

 

This candidate will preferably have relevant quantitative research experience.