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- Tasks: Lead innovative projects that enhance trading performance and develop real-time trading models.
- Company: Maven Securities is a top proprietary trading firm known for its market-making strategies and cutting-edge technology.
- Benefits: Enjoy competitive pay, flexible work, catered meals, and a supportive culture.
- Why this job: Join a fast-growing firm where your ideas directly impact trading and you can grow your career.
- Qualifications: PhD or relevant experience in applied mathematics, computer science, or finance with 3+ years in electronic options trading.
- Other info: Work in a friendly, informal environment that values creativity and innovation.
The predicted salary is between 48000 - 72000 £ per year.
Senior Quantitative Researcher – Options Market Making
Join to apply for the Senior Quantitative Researcher – Options Market Making role at Maven Securities
Senior Quantitative Researcher – Options Market Making
Join to apply for the Senior Quantitative Researcher – Options Market Making role at Maven Securities
Get AI-powered advice on this job and more exclusive features.
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.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance and Sales
Referrals increase your chances of interviewing at Maven Securities by 2x
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Senior Quantitative Researcher - Options Market Making employer: Maven Securities
Contact Detail:
Maven Securities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher - Options Market Making
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and options market making. Stay updated on new algorithms and trading strategies by following industry publications and attending relevant webinars or conferences.
✨Tip Number 2
Network with professionals in the field of quantitative finance. Engage with communities on platforms like LinkedIn or specialised forums to connect with current employees at Maven Securities or similar firms, which can provide valuable insights and potentially a referral.
✨Tip Number 3
Prepare to discuss your previous projects and how they relate to the role. Be ready to explain your thought process behind developing predictive models and any innovative solutions you've implemented in low latency trading systems.
✨Tip Number 4
Demonstrate your collaborative skills during interviews. Share examples of how you've worked effectively with cross-functional teams, particularly in bridging the gap between technical development and trading strategies, as this is crucial for the role.
We think you need these skills to ace Senior Quantitative Researcher - Options Market Making
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in options trading. Emphasise your academic background in applied mathematics, computer science, or related fields, and showcase any independent research you've conducted.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative trading and your proactive approach to improving trading strategies. Mention specific projects or experiences that demonstrate your ability to develop predictive models and work collaboratively with teams.
Showcase Technical Skills: Clearly outline your technical skills in algorithm design, data analysis, and programming languages relevant to the role. Provide examples of how you've used these skills to solve complex problems in previous positions.
Highlight Collaborative Experience: Since the role involves working closely with traders and developers, include examples of past collaborative projects. Describe how you contributed to team success and aligned technical work with commercial impact.
How to prepare for a job interview at Maven Securities
✨Showcase Your Technical Skills
As a Senior Quantitative Researcher, you'll need to demonstrate your expertise in applied mathematics, statistics, and algorithm design. Be prepared to discuss specific projects where you've developed predictive models or tackled complex hypotheses using large datasets.
✨Prepare for Collaborative Questions
Maven values collaboration between researchers and traders. Expect questions about how you work in teams and bridge the gap between technical and commercial aspects. Share examples of past experiences where you successfully collaborated on projects.
✨Demonstrate Your Proactive Mindset
The role requires a proactive approach to improving trading strategies. Be ready to discuss how you've identified new opportunities in previous roles and the impact of your initiatives on trading performance.
✨Understand the Company Culture
Maven has a friendly and informal culture that encourages creativity and innovation. Familiarise yourself with their values and be prepared to discuss how you align with their mission and how you can contribute to their collaborative environment.
