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Job Details

Maven logo
Proprietary Trading

Senior Quantitative Researcher - Options Market Making

at Maven

ExperiencedNo visa sponsorship

Posted 7 days ago

0 views

A Senior Quantitative Researcher at Maven Securities will lead high-impact projects in quantitative trading, developing low-latency models for exchange-traded options. The role demands expertise in algorithm design, statistical research, and collaboration with traders and developers to innovate trading strategies with a focus on options market making and performance optimization.

Compensation
Not specified

Currency: Not specified

City
London
Country
Not specified

Full Job Description

Senior Quantitative Researcher - Options Market Making

Maven is market-leading proprietary trading firm allocating internal capital across discretionary, systematic, and market-making strategies. We deploy Market Making strategies on listed Options and Futures on multiple exchanges globally and consistently ranked within the top three liquidity providers on the exchanges and markets we are mature in. We utilise our in-house ultra-low latency and high performant trading platforms to provide best in class pricing and liquidity to markets. Our traders are passionate about creating innovative solutions and push the boundaries of quantitative trading. We value creativity and are aggressive to capitalise on opportunities and take proven strategies to the next level. We empower our team members and maximise their ability to succeed by offering an environment that is open, collaborative and supportive.

The role:

As a Senior Quantitative Researcher, you will lead projects that have a direct impact on our trading performance. You will work collaboratively with other researchers and traders from various scientific fields and prestigious academic institutions, to develop innovative real-time trading models and solutions for low latency trading systems for exchange-traded options. You will share your knowledge and expertise with other researchers to tackle various challenging projects including but not limited to option pricing and volatility models, algorithm design and alpha research.

What we’re looking for:

  • Academic degree in applied mathematics, computer science, statistics engineering or physics. PhD or any other track record in conducting independent research.
  • Minimum 3+ years of experience in the financial industry, particularly electronic options trading.
  • Ability to research advanced algorithms, develop predictive models and verify complex hypotheses using large datasets.
  • Proactive interest in improving existing trading strategies and identifying new opportunities.
  • A collaborative bridge between developers, and traders who aligns technical work with commercial impact and the broader strategic vision, and a real team player with other quants in the team.

Why you should apply:

  • Rare opportunity to take a high level of responsibility at a fast-growing global trading firm
  • Opportunity to be highly involved in the decisions that shape our trading
  • Flexible research environment to iterate on your ideas quickly and see the impact of your work in production
  • Leadership opportunities as the team grow
  • Great engineering environment where technology, creativity and innovation is key to our success
  • An environment where you’re empowered and supported to achieve your ambitions
  • Friendly, informal and highly rewarding culture
  • The upside of a start-up without the associated risks

WHAT WE CAN OFFER YOU

  • Competitive compensation
  • Annual discretionary bonus
  • Fully catered breakfast and lunch
  • 25 days' annual leave
  • Informal dress code
  • Private healthcare and life assurance
  • Group Pension plan

The Options Market Making team at Maven Securities operates under a strict direct sourcing model. We are committed to managing all recruitment activities internally to ensure a consistent and transparent candidate experience. As such, we do not accept unsolicited CVs or introductions from recruitment agencies. If you're interested in this opportunity, please apply directly.

Job Details

Maven logo
Proprietary Trading

7 days ago

0 views

Senior Quantitative Researcher - Options Market Making

at Maven

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: London

Country: Not specified

A Senior Quantitative Researcher at Maven Securities will lead high-impact projects in quantitative trading, developing low-latency models for exchange-traded options. The role demands expertise in algorithm design, statistical research, and collaboration with traders and developers to innovate trading strategies with a focus on options market making and performance optimization.

Full Job Description

Senior Quantitative Researcher - Options Market Making

Maven is market-leading proprietary trading firm allocating internal capital across discretionary, systematic, and market-making strategies. We deploy Market Making strategies on listed Options and Futures on multiple exchanges globally and consistently ranked within the top three liquidity providers on the exchanges and markets we are mature in. We utilise our in-house ultra-low latency and high performant trading platforms to provide best in class pricing and liquidity to markets. Our traders are passionate about creating innovative solutions and push the boundaries of quantitative trading. We value creativity and are aggressive to capitalise on opportunities and take proven strategies to the next level. We empower our team members and maximise their ability to succeed by offering an environment that is open, collaborative and supportive.

The role:

As a Senior Quantitative Researcher, you will lead projects that have a direct impact on our trading performance. You will work collaboratively with other researchers and traders from various scientific fields and prestigious academic institutions, to develop innovative real-time trading models and solutions for low latency trading systems for exchange-traded options. You will share your knowledge and expertise with other researchers to tackle various challenging projects including but not limited to option pricing and volatility models, algorithm design and alpha research.

What we’re looking for:

  • Academic degree in applied mathematics, computer science, statistics engineering or physics. PhD or any other track record in conducting independent research.
  • Minimum 3+ years of experience in the financial industry, particularly electronic options trading.
  • Ability to research advanced algorithms, develop predictive models and verify complex hypotheses using large datasets.
  • Proactive interest in improving existing trading strategies and identifying new opportunities.
  • A collaborative bridge between developers, and traders who aligns technical work with commercial impact and the broader strategic vision, and a real team player with other quants in the team.

Why you should apply:

  • Rare opportunity to take a high level of responsibility at a fast-growing global trading firm
  • Opportunity to be highly involved in the decisions that shape our trading
  • Flexible research environment to iterate on your ideas quickly and see the impact of your work in production
  • Leadership opportunities as the team grow
  • Great engineering environment where technology, creativity and innovation is key to our success
  • An environment where you’re empowered and supported to achieve your ambitions
  • Friendly, informal and highly rewarding culture
  • The upside of a start-up without the associated risks

WHAT WE CAN OFFER YOU

  • Competitive compensation
  • Annual discretionary bonus
  • Fully catered breakfast and lunch
  • 25 days' annual leave
  • Informal dress code
  • Private healthcare and life assurance
  • Group Pension plan

The Options Market Making team at Maven Securities operates under a strict direct sourcing model. We are committed to managing all recruitment activities internally to ensure a consistent and transparent candidate experience. As such, we do not accept unsolicited CVs or introductions from recruitment agencies. If you're interested in this opportunity, please apply directly.