Quantitative Researcher

Anson McCade • United Kingdom
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AI Summary

Conduct research and analysis to identify trends and patterns in the markets. Design and backtest strategies to convert into live systematic trading. Help optimize the portfolio by designing models and tools.

Key Highlights
Conduct research and analysis
Design and backtest strategies
Optimize the portfolio
Key Responsibilities
Utilise datasets to identify trends and patterns in the markets
Produce signals and design strategies to backtest
Convert strategies into live systematic trading
Help optimise the portfolio by designing models and tools
Technical Skills Required
Python
Benefits & Perks
Competitive base package
Flat meritocratic structure
Collaborative culture
Nice to Have
C++
Java
Experience in pricing or modelling
Experience in alpha research and signal/strategy development

Job Description


My client prides itself on research and collaboration, with an environment where teams of researchers and portfolio managers work very closely with each other. Having initially focused on the cash equities space, their strong performances since inception have allowed them to expand operations. They no longer focus on a specific asset class, operating in markets globally and deploying a wide range of strategies and frequencies. Their main offices are in London, Paris, New York, Hong Kong and Singapore.


The Role


As a Quantitative Researcher key responsibilities will include utilising datasets to identify trends and patterns in the markets. With this information you will be producing signals and designing strategies to backtest. Eventually you will convert these into live systematic trading strategies and then assess their performance. Outside of strategy research, you will be responsible for helping to optimise the portfolio; designing models and tools to provide yourself and the team with performance indicators.


Benefits

  • Competitive base package
  • Flat meritocratic structure
  • A collaborative culture
  • Excellent scope to progress within the firm
  • Exposure to working with various types of strategies and asset classes


Requirements.


  • Strong hands on experience using Python. Experience using C++ or Java is a plus but not a strict requirement.
  • Previous successful candidates had worked at top franchises at leading Investment Banks or Hedge Funds.
  • Experience in pricing or modelling would be preferable. Experience in alpha research and signal/strategy development would be a plus.
  • Completed or working towards a Master's Degree in a Quantitative discipline such as; Maths, Computer Science, Statistics, Physics or Electrical Engineering.


VISA Sponsorship is available.


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