Equities Portfolio Quant Researcher

Equities Portfolio Quant Researcher

Quant Capital is urgently looking for an Equities Quant Researcher to join our high profile client in their main research team.

Our client is one of the largest Quant Investment managers globally, with around £20 billion under management. They are mainly quant based but have High frequency and systematic exposure. The role sits with the trading team on the bleeding edge of technology as well as execution.

This is an environment of science and intellectuals. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.

The role is essentially responsible for building the quantitative framework for an equities PM business.

Responsibilities:

• Assisting in building various parts of quantitative trading framework
• Working with Tech department to put into production quantitative models
• Collaboration with the Risk, Portfolio, and Business Managers to ensure accurate application of the quantitative framework in day-to-day workflows
• Research and implement various research models including factor models, and risk assessments

Quant Researcher Must Ideally Have:

• Advance degree or PhD in a technical or quantitative field
• Strong programming skills, experience with programming languages (SQL, R, Python)
• 5-10 years of experience in equity risk modeling and quantitative models
• Strong written and verbal communications with the ability to communicate with Portfolio Managers and Traders
• Ability to work independently and in ambiguous environments

You will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ongoing training and a structured career path. You can also expect an excellent salary and benefits package, flex working.

Technology plays a serious part to their business in an operation that runs 24/7 globally. You will play a serious part in making the London office more efficient in its execution.

The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.

My client is based in London

Research, Systematic, Stat Arb, C++ Erlang, F#, Scala, Haskell, Django, Python, Twisted, noSQL, Data Science

• Seniority Level

  Mid-Senior level

• Industry

  • Capital Markets
  • Financial Services
  • Information Technology and Services

• Employment Type

  Full-time

• Job Functions

  • Information Technology
  • Engineering
  • Finance