Quantitative Trading Analyst

Maven Securities Ltd; Greater London; On-site; GBP 40,000 - GBP 60,000; Full time

Job summary

A leading proprietary trading firm in Greater London is seeking a Data Analyst to develop advanced analytics infrastructure and conduct quantitative strategy research. The ideal candidate will have strong proficiency in Python and at least 2-5 years of experience within a trading firm. Responsibilities include building scalable tools for performance metrics and delivering actionable insights to improve trading strategies. This role offers a dynamic work culture with significant impact and growth opportunities.

Benefits

Great technology-focused environment

Friendly and informal culture

Opportunities in a fast-growing firm

Qualifications

• At least 2–5 years of experience within a Hedge Fund, Proprietary Trading Firm, or Quantitative Asset Manager.
• Deep understanding of the trade lifecycle and buy-side strategies.

Responsibilities

• Engineer scalable Python-based libraries and tools for performance metrics.
• Perform rigorous statistical analysis on trade and portfolio-level data.
• Analyze performance to identify optimization areas and deliver recommendations.

Skills

Strong proficiency in Python (Pandas, NumPy, SciPy)

SQL knowledge

Excellent communication and teamwork skills

Outstanding numerical skills

Fast problem-solving skills

Job description

Maven is a market-leading proprietary trading firm allocating internal capital across discretionary, systematic, and market-making strategies. Our collective expertise spans traders, engineers, and technologists, unified by an unwavering dedication to enhance our efficiency as a premier liquidity provider for globally listed derivatives. We leverage groundbreaking execution and pricing technologies to elevate and improve how financial markets operate. Maven continues to scale its operations while preserving the dynamic energy and innovative culture of a start-up, but without the associated risks.

Responsibilities

• Develop Advanced Analytics Infrastructure: Engineer scalable Python-based libraries and tools that standardize performance metrics across the group. create automated workflows that convert raw trading data into high-value insights for Portfolio Managers and the Investment Committee.
• Conduct Quantitative Strategy Research: Perform rigorous statistical analysis on trade and portfolio-level data to decompose PnL drivers. Identify alpha decay, parameter inefficiencies, and execution drag to deliver actionable research that directly improves performance.
• Improve Returns on Existing Strategies: Analyze performance on a trade and strategy level to identify inefficiencies of optimisation areas. Deliver recommendations backed by data and maintain follow through.
• Highlight Trading Risks & Opportunities: monitor portfolio exposures, performance trends, and market signals to highlight emerging risks and identify underutilized or mispriced opportunities across various strategies.
• Support Strategy Development: support the PM onboarding process, and business development initiatives into new product groups and strategies.

Candidate Specifications

• At least 2–5 years of experience specifically within a Hedge Fund, Proprietary Trading Firm, or Quantitative Asset Manager.
• Strong proficiency in Python (Pandas, NumPy, SciPy) for data analysis and simulation; SQL knowledge is essential.
• Deep understanding of the trade lifecycle and buy-side strategies (e.g., Relative Value, Stat Arb, Volatility).
• Excellent communication and teamwork skills
• Ability to demonstrate wider interest in financial markets
• Outstanding numerical skills
• Proactive interest in improving existing trading strategies and identifying new opportunities
• Ability to take a high level of responsibility in an expanding, highly successful firm
• Excellent attention to detail
• Fast problem-solving skills

What We Offer

• A great environment whereby technology is key to our success
• The upside of a start-up without the associated risks
• Friendly, informal and highly rewarding culture
• A fast-growing global firm with plenty of opportunities where you will have a significant impact

Apply for this job

*

indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone

Country

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

How did you hear about this job?

Do you have the right to work in the UK? * Select...

Do you require visa sponsorship from Maven? * Select...

Are you currently dependent on a visa to work in the UK or will you need a visa to work in the UK in the future? Please provide as much detail below *

What is your current salary? *

What is your salary expectation? *

If you require any support or adjustments during the recruitment process for any reason including those related to a disability, please indicate yes here and we will be in contact.If you click Yes or No to this question you are opting in and consent to the collection of this information for the purposes of enabling Maven to facilitate any required support or adjustments. *

Maven is committed to creating a diverse and inclusive culture for our employees. It is crucial for us to understand the demographics of our candidate pool to measure our recruitment practices. There is no requirement for any candidate to answer our demographic questions. For candidates who complete the questionnaire, their data will be anonymised and used only in the aggregate to inform our attraction strategy . Maven is an equal opportunity employer and this data will be used for opportunity monitoring purposes.

Which gender do you identify with Select...

What is your religion or belief Select...

What is your sexual orientation Select...

What is your ethnic group Select...

What type of school did you mainly attend between the ages of 11 and 16 Select...

If you went to university (college in the USA) or home country equivalent, were you the first of your family to do so Select...

If you finished school after 1980, were you eligible for free school meals at any point during your school years Select...

Do you have a disability or long-term health condition including, but not limited to: visual and hearing impairments, mobility impairments, autism, diabetes, epilepsy, dyslexia, dyspraxia, mental health conditions, speech impairments and major illnesses s Select...