QUANT DEVELOPER -Python (TOP HEDGE FUND!)

at  Robert Half

QUANT DEVELOPER (TOP HEDGE FUND!)

Looking for a challenging role in the Hedge Fund industry?
Do you want to work for a TOP TEAM? this is to work with THE BEST OF THE BEST
Look no further! A high-performing multi-billion dollar Hedge Fund is seeking a Quant Developer to join their Tech Team to manage risk levels.
This candidate MUST HAVE Swaps, Interest Rates, Bonds or Pricing.
This individual will work on the build-out of risk management processes and analysis, then transition into the front office trading technology quantitative development team.
The ideal candidate will have a strong background in quantitative finance, data analysis, and econometrics/statistics, as well as programming skills in Python and other object-oriented languages.
Additionally, they should be familiar with financial datasets and hedge fund strategies, and able to communicate effectively with both technical and non-technical members of the business.

Key Responsibilities

• Develop and contribute to the firm’s risk management systems and processes
• Develop front office quant tools/applications to facilitate investment decision-making
• Collaborate with Investment teams (Portfolio Managers/Traders/Risk Officers/Quant Analysts) to analyse data, implement and testing models, deliver innovative ideas and trading opportunities
• Contribute to the overall development of the internally developed analytics framework, which includes a powerful data and analytics platform responsible for the analysis and presentation of data for the business
• Support risk and technology leadership to implement strategic roadmaps and build-out of internal services and frameworks to support the needs of the business

Required Background

• Bachelor/Masters degree (or equivalent) in a mathematical subject, e.g. Computer Science, Mathematics, Physical Sciences
• Previous experience in the asset management industry or financial services: o Hedge fund or similar buy-side institution o Institutions directly related, e.g. investment bank

Requisite Skills

• Strong background in quantitative finance, data analysis and econometrics / statistics
• Strong programming skills, particularly in Python and any other object-oriented languages
• Understanding of financial datasets such as reference and market data
• Familiarity with hedge fund strategies (e.g. Event Driven, Relative Value Arbitrage)
• Familiarity with pre-trade analytical tooling such as backtesting and portfolio optimisation
• Ability to communicate effectively with both technical and non-technical members of the business, and to effectively interact with the front office

• Develop and contribute to the firm’s risk management systems and processes
• Develop front office quant tools/applications to facilitate investment decision-making
• Collaborate with Investment teams (Portfolio Managers/Traders/Risk Officers/Quant Analysts) to analyse data, implement and testing models, deliver innovative ideas and trading opportunities
• Contribute to the overall development of the internally developed analytics framework, which includes a powerful data and analytics platform responsible for the analysis and presentation of data for the business
• Support risk and technology leadership to implement strategic roadmaps and build-out of internal services and frameworks to support the needs of the busines