Leading London Based Hedge Fund Hiring Quant Wizard

London, United Kingdom; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial recruitment consultancy in the UK is looking for a Quant Wizard to develop algorithms and models of financial markets. The successful candidate will work with large datasets and complex data analysis, requiring a polished academic background in a technical field, such as Statistics or Applied Mathematics. Key qualifications include experience in numerical analysis and machine learning techniques. This role offers the opportunity to tackle challenges in trading strategies and data optimization.

Qualifications

• Experience in financial algorithms and quantitative models.
• Strong skills in statistical analysis and time series analysis.
• Proven track record with successful trading strategies.

Responsibilities

• Develop algorithms and quantitative models of financial markets.
• Examine complexities of traded products and market exchanges.
• Implement and execute financial models while addressing challenges.

Skills

Numerical analysis

Optimisation

Machine learning

Natural language processing

Data analysis

Education

PhD in a technical discipline

Tools

Regression analysis techniques

Neural networks

Support vector machines

Job description

Leading London Based Hedge Fund Hiring Quant Wizard

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. The role's responsibility in projects spans initial idea generation through to implementation and execution, whilst tackling challenges in areas such as prediction, optimisation, and data analysis.

You will be probing and examining the global markets, trying 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 to PhD level.
• Proven success with profitable trading strategies
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines

Apply

Please send a 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 so...