At a Glance
- Tasks: Drive quantitative research and analytics to enhance trading strategies and develop data products.
- Company: Join a dynamic team at SIX, a leader in financial services.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity for growth in a fast-paced, innovative environment.
- Why this job: Make an impact in trading while working with cutting-edge analytics and market insights.
- Qualifications: Strong academic background in finance or quantitative fields and experience in capital markets.
The predicted salary is between 60000 - 80000 £ per year.
Do you want to work in a highly dynamic environment? Are you passionate about trading? Then our Products team of SIX wants to hear from you!
We are a highly specialized team responsible for the development and financial impact of the exchange.
You work closely with various internal stakeholders to support quantitative research, analytics and the development of analytics data products for our clients.
The Quant Research & Data Products team within the Products team is tasked with initiatives across asset classes.
What You Will Do
- Drive quantitative research and analytics of order book dynamics to promote trading of existing products and services
- Provide research and market analysis to identify trends for future initiatives and to monitor the maturity and direction in which launched services are developing
- Support the team in the monetization of data by developing new analytics data products
- Develop and maintain close relations with stakeholders both externally (clients, peers, competitors, providers) and internally (sales, business intelligence, data management and colleagues from other SIX business units)
What You Bring
- Top academic profile in finance, economics, statistics, or any quantitative discipline.
- At least 2 years of capital markets experience in quantitative research or trading, deep market microstructure knowledge.
- Highly rigorous, research-oriented and self-motivated person who delivers high-quality work consistently.
- Strong command of Python, SQL and data analysis packages.
- English is required, Spanish and German are highly useful.
- #J-18808-Ljbffr
Senior Quantitative Analyst (8047) in London employer: SIX
SIX is an exceptional employer that fosters a dynamic and collaborative work environment, perfect for those passionate about trading and quantitative analysis. With a strong focus on employee growth, we offer opportunities to engage in cutting-edge research and analytics while working closely with diverse stakeholders. Our commitment to innovation and excellence ensures that you will be part of a team that not only values your contributions but also supports your professional development in the heart of a thriving financial hub.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Analyst (8047) in London
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We think you need these skills to ace Senior Quantitative Analyst (8047) in London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SIX. 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 SIX
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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.
