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For Companies At a Glance
- Tasks: Collaborate with traders to enhance automated trading algorithms and analyse trading data.
- Company: Join Maven, a leading firm focused on empowering employees and maximising potential.
- Benefits: Enjoy comprehensive health coverage, retirement plans, and an annual learning stipend.
- Why this job: Dive into quantitative research in finance while developing valuable skills and strategies.
- Qualifications: Ideal for recent graduates with a degree in applied mathematics or engineering and programming skills.
- Other info: Entry-level position for those with less than 3 years of experience; great growth opportunities.
The predicted salary is between 100000 - 126000 £ per year.
As a Quant Researcher you will work collaboratively with traders and researchers to tackle problems in the computational, data processing, signal generation, and signal combination spaces. We will teach you the skills to develop expertise in doing quantitative research and development across a variety of financial domains and time-horizons including: options, futures, and equities. You will complete Options training, apply your academic research abilities and learn how to perform research on real-world data of varied volume and sampling frequency across a variety of domains.
Responsibilities
- Design, evaluate and continuously improve our automated trading algorithms
- Build quantitative pricing models, for example American Option Pricing and Volatility Modelling
- Research and analyse trading data to find and test trading opportunities
What We Are Looking For
- Academic degree in applied mathematics, engineering or physics (Masters or PhD)
- Relevant programming experience in at least one language (Python, C++, C#)
- The ability to solve new and unfamiliar problems quickly and creatively
- Good communication skills, being able to present the results of a research clearly
- Proactive interest in improving existing trading strategies and identifying new opportunities
- Knowledge of financial markets, particularly options and futures is a bonus, but not required
Please note, this position is aimed at those who have fewer than 3 years professional work experience.
Our Benefits
At Maven our goal is to create an environment that empowers and motivates our employees to maximize their potential. Our comprehensive benefits package is designed to optimize performance, reward our employees, and allow them time to pursue their passions. Benefits at Maven include medical, dental, and vision coverage for employees and their dependents, employer paid short term and long term disability and life insurance, as well as paid parental leave. Maven also offers retirement plans with an employer match and an annual learning and development stipend for all employees.
Compensation
Total Compensation Range: $150,000-180,000
Seniority level: Entry level
Employment type: Full-time
Job function: Finance and Sales
Industries: Professional Training and Coaching
Quant Researcher employer: Agile Change Management Limited
Contact Detail:
Agile Change Management Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and trading algorithms. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python or C++. Consider working on personal projects or contributing to open-source projects that involve quantitative analysis to showcase your abilities.
✨Tip Number 3
Network with professionals in the finance and quantitative research fields. Attend relevant meetups, webinars, or conferences to make connections and learn from others' experiences.
✨Tip Number 4
Stay updated on financial markets, particularly options and futures. Reading industry publications or following market analysts can give you insights that will be valuable in discussions with potential employers.
We think you need these skills to ace Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic background in applied mathematics, engineering, or physics. Include any relevant programming experience, particularly in Python, C++, or C#, and showcase your problem-solving skills.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for quantitative research and your proactive interest in improving trading strategies. Mention any specific projects or experiences that demonstrate your ability to analyse data and solve complex problems.
Showcase Relevant Skills: Emphasise your communication skills by providing examples of how you've presented research findings clearly in the past. If you have any knowledge of financial markets, particularly options and futures, be sure to mention it as it can set you apart.
Proofread Your Application: Before submitting your application, carefully proofread all documents to ensure there are no errors. A polished application reflects your attention to detail and professionalism, which are crucial in the finance industry.
How to prepare for a job interview at Agile Change Management Limited
✨Showcase Your Technical Skills
As a Quant Researcher, you'll need to demonstrate your programming abilities. Be prepared to discuss your experience with languages like Python or C++. Consider bringing examples of projects you've worked on that highlight your coding skills and problem-solving capabilities.
✨Understand Financial Concepts
While knowledge of financial markets isn't mandatory, having a basic understanding of options, futures, and equities can set you apart. Brush up on these concepts before the interview, and be ready to discuss how they relate to quantitative research.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to solve new and unfamiliar problems. Practice thinking aloud as you work through problems, as this will showcase your creative thinking and analytical skills to the interviewers.
✨Communicate Clearly
Good communication is key in this role. Be prepared to explain your research findings and methodologies clearly and concisely. Practise summarising complex ideas in simple terms, as this will help you convey your thoughts effectively during the interview.
