Leading London Based Hedge Fund Hiring Quant Wizard

Eka Finance; London; On-site; GBP 90,000; Full time

Job summary

A prominent London-based hedge fund is seeking a Quant Wizard to enhance their systematic trading team. This role involves utilizing advanced technology to create algorithms and quantitative models, engaging with complex data sets to drive profitable trading strategies. Ideal candidates possess a strong technical background, including expertise in statistics, numerical analysis, and machine learning, complemented by proven trading success.

Qualifications

• Proven success with profitable trading strategies.
• Working knowledge of forecasting and data mining techniques.
• Experience in signal processing and robust statistical techniques.

Responsibilities

• Develop algorithms and build quantitative models of financial markets.
• Analyze large and complex data sets to generate profit-driven ideas.
• Address challenges in prediction, optimisation, and data analysis.

Skills

Numerical analysis

Optimisation

Statistics

Machine learning

Natural language processing

Time series analysis

Education

PhD in Statistics, Applied Mathematics, or Computational Physics

Job description

Leading London Based Hedge Fund Hiring Quant Wizard

Leading London Based Hedge Fund Hiring Quant Wizard

Eka Finance London, United Kingdom Apply now Posted 1 month ago | Permanent | £90K + Benefits

Leading London Quant Fund is recruiting a quant wizard to work on profit-generating ideas within their systematic quant trading team.

Role:
Your role will involve working closely with the latest technology to develop algorithms and build quantitative models of financial markets. This role involves large and often complex data sets. Responsibilities include initial idea generation through to implementation and execution, addressing challenges in prediction, optimisation, and data analysis.
You will analyze global markets to understand the complexities of various traded products and exchanges.

Requirements:

• Experience in numerical analysis, optimisation, signal processing, statistics (including robust techniques), time series analysis, machine learning, and natural language processing
• Polished academic background in a highly technical discipline, e.g., Statistics, Applied Mathematics, Computational Physics, up to PhD level
• Proven success with profitable trading strategies
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression, neural networks, or support vector machines

Application:
Please send your Word CV to Sara Hunter at [e-mail]

Eka Finance is a leading global quantitative finance recruitment consultancy in the banking and finance industry. We offer front office recruitment services and more.

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