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Candidates will be working on idea generation, backtesting of trading ideas and production of automated trading platforms for systematic trading strategies. In addition, you will be working on some high profile technology projects, gaining an excellent amount of business exposure to the financial markets. This is an exceptional chance for candidates to join a leading firm, gaining expert knowledge ofquant analytics and the financial markets working alongside some of the brightest mind in the market.
As a High Frequency Quantitative Trader you will recognise new opportunities and subsequently either create or help develop automated solutions to capitalise on this. Key Responsibilities: Create and develop high performance, algorithmic trading models using maths and statistics. Requirements Advanced Degree in Maths, Sciences with a focus on statistics Previous exposure to high frequency quantitative trading/analytics Expertise in C++ and data analysis such as ‘R’or Matlab For further information please contact Daniel Morrison on Daniel.
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Candidates will be working on idea generation, backtesting of trading ideas and production of automated trading platforms for systematic trading strategies. In addition, you will be working on some high profile technology projects, gaining an excellent amount of business exposure to the financial markets.
As a High Frequency Quantitative Trader you will recognise new opportunities and subsequently either create or help develop automated solutions to capitalise on this. Key Responsibilities: Create and develop high performance, algorithmic trading models using maths and statistics.
You will be directly involved in the full life cycle of tools development, strategy research and optimization, using cutting edge infrastructure with a direct influence on PnL Requirements - Expertise.
A core OO developer within Trading Execution to support the development of the trading technology platform. This is an IT oriented position but will require strong data modelling, database design and data structure design.
The team focuses on using quantitative methods and computational solutions in maximizing trading returns. This is a global business with close interaction between desks in London, New York and Hong Kong.
This is a junior-to-mid level model development position within the Quantitative Research Risk Group with a focus on Capital modelling, counterparty risk models, and other valuation research areas (e.g. modelling of illiquid assets).
My client, a high frequency systematic proprietary trading house, is looking for high frequency systematic traders and quantitative researchers for London and New York.
My client is a Top Tier Bank holding a leading position among banks in Europe, having one of the three top Fixed Income products in Europe with strong franchises in Asia, Japan, and the US.
In particular, the group reviews derivative valuation models, analyses complex model risk, and assesses appropriateness of risk measurement and reserve methodologies across all major lines of business including equities, FX, commodities, fixed income and credit.
The role affords the new team member opportunities to gain cross-asset experience in a wide range of business areas and its product and models, while contributing to the model development and model support effort for business specific as well as bank-wide models.
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