At a Glance
- Tasks: Research and implement trading strategies using advanced statistical methods.
- Company: Dynamic firm at the forefront of automated trading.
- Benefits: Competitive salary, bonuses, health benefits, and 401(k) contributions.
- Other info: Fast-paced environment with opportunities for significant career growth.
- Why this job: Make a real impact in trading while working with cutting-edge technology.
- Qualifications: Strong quantitative background and programming skills required.
The predicted salary is between 112500 - 187500 £ per year.
Position Overview:
- Research and implement strategies within the firm's automated trading framework.
- Analyze large data sets using advanced statistical methods to identify trading opportunities.
- Develop a strong understanding of market structure of various exchanges and asset classes.
- Critically question results to ensure they are statistically significant and robust.
Typical Day of Quant Researcher:
- Primary focus throughout the day is on researching and implementing trading ideas.
- Before market open, check that all required data and related processes are ready for the trading day.
- During market hours, sporadically monitor behavior and performance of strategies.
- Compare live performance with simulations.
- Present results to your manager and discuss improvements, open questions, and next steps.
Required Qualifications:
- Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
- Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
- Strong communication skills and ability to work well with colleagues across multiple regions.
- Ability to work well under pressure.
- Good familiarity with instruments of at least one liquid non-equity asset class (futures, FX, cash treasuries).
- Experience working with intraday bar data and researching intraday trading opportunities.
The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates' compensation and benefits will be determined in consideration of various factors.
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Senior Quant Researcher - CTA/Short-Term employer: Socket.dev
Multiverse is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Edinburgh. With a commitment to employee growth through comprehensive upskilling opportunities and a robust benefits package, including generous holiday allowances and health support, Multiverse empowers its team to thrive in the rapidly evolving AI landscape. Join us to be part of a mission-driven company that values diversity and inclusion while shaping the future of education and workforce development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Researcher - CTA/Short-Term
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We think you need these skills to ace Senior Quant Researcher - CTA/Short-Term
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Socket.dev, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Socket.dev. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Socket.dev
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
