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FRONT OFFICE QUANT DEVELOPER TOP HEDGE FUND!

Robert Half
Posted 3 days ago, valid for a month
Location

London, Greater London EC1R 0WX

Salary

£60,000 - £72,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A multi-billion dollar hedge fund is seeking a Front Office Quant Developer to enhance risk management processes and contribute to quantitative development in trading technology.
  • The ideal candidate should possess a strong background in quantitative finance, programming skills in Python, and familiarity with financial datasets and hedge fund strategies.
  • Required qualifications include a Bachelor/Master's degree in a mathematical subject and prior experience in the asset management industry, particularly in hedge funds or investment banks.
  • This role offers a competitive base salary with a bonus potential of 50-100%, along with an office-based position in Central London and flexible working options.
  • Candidates interested in this opportunity should submit their CV promptly, as interviews will be arranged ASAP.

FRONT OFFICE 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 BESTLook no further! A high-performing multi-billion dollar Hedge Fund is seeking a Front Quant Developer to join their Tech Team to manage risk levels.

This canddiate MUST HAVE Swaps, Intrest 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
Technologies & Methodologies
  • Python in the context of quantitative finance, e.g. NumPy, pandas
  • Data management engines optimised for various use cases such as time series, structured, and semistructured data environments (e.g. Database MSSQL)
  • Agile development practices (e.g. Continuous integration, Source control management)
  • Working understanding of test-driven development approaches
  • Experience with cloud technologies
  • Experience with process automation and maintenance
  • Experience with Imagine (PMS) is a plus
  • Knowing JavaScript/React is a plus

This role offers a competitive base salary and a 50-100% bonus potential, with an office-based position in Central London and flexibility is on offer if needed.?? Don't miss out on this opportunity to work with one of the best in the industry!If you're interested in this opportunity, submit your CV as soon as possible. Interviews will be arranged ASAP!

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice

Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website: gb/en/how-spot-recruitment-scams-and-protect-yourself

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.