QUANT DEVELOPER -Python (TOP HEDGE FUND!)

TN United Kingdom; London; Hybrid; GBP 75,000 - 120,000; Full time

Job summary

A leading hedge fund in London is seeking a Quant Developer with expertise in Python and quantitative finance to enhance their risk management team. This role offers a hybrid working model, competitive salary, and significant bonus potential. Ideal candidates will possess strong programming skills and the ability to communicate complex financial concepts effectively.

Qualifications

• Experienced in developing risk management systems and quantitative tools.
• Familiarity with hedge fund strategies and financial datasets.
• Able to communicate effectively with both technical and non-technical staff.

Responsibilities

• Develop risk management systems and tools for investment decision-making.
• Collaborate with investment teams to analyze data and implement models.
• Support strategic initiatives and development frameworks within the firm.

Skills

Quantitative finance

Data analysis

Econometrics

Programming in Python

Communication

Education

Bachelor/Masters in Mathematics or equivalent

Tools

NumPy

pandas

MSSQL

Job description

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QUANT DEVELOPER -Python (TOP HEDGE FUND!), London

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Client:

Robert Half

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d9352218377a

Job Views:

4

Posted:

27.05.2025

Expiry Date:

11.07.2025

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Job Description:

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

This is a Hybrid Working role with 3 days in the office and 2 days from home.

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

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)
• Working understanding of test-driven development approaches
• Experience with cloud technologies
• Experience with process automation and maintenance
• Experience with Imagine (PMS) is a plus

This role offers a competitive base salary and a 50-100% bonus potential, with an hybrid working on offer! 3 days onsite and 2 days from home.

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 diversity, equity and inclusion. 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: roberthalf.com/gb/en/privacy-notice.