At a Glance
- Tasks: Monitor trading algorithms, build analytics, and enhance trading operations.
- Company: Voleon, a leading tech firm in finance using machine learning.
- Benefits: Competitive pay, expert mentorship, and a collaborative work environment.
- Other info: Dynamic role with opportunities to rotate across various trading desks.
- Why this job: Join a cutting-edge team and make an impact in finance with machine learning.
- Qualifications: Passion for markets, programming skills, and a degree in a quantitative field.
The predicted salary is between 50000 - 70000 £ per year.
Voleon is a technology company that applies state‑of‑the‑art machine learning techniques to real‑world problems in finance. For more than 15 years, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multi‑billion‑dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced finance and technology professionals. You will be working with strategies that are at the forefront of machine learning and statistical trading. The strategies have been carefully designed to generate non‑correlated returns. Our firm and its strategies are the product of many years of meticulous research and craftsmanship, and you will lead the way in stewarding them for the future.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, unparalleled access to our experts and founders, and more.
The Trading Operations group at Voleon sits at the crossroads of finance and applied science, collaborating with research and other production staff to supervise and improve systematic trading strategies. The team ensures that the outputs of our research efforts are successfully implemented in the real world. Domains of contribution include algorithmic execution, securities lending, and market expertise across a variety of asset classes and markets.
As an Associate Member of Trading Staff, you will rotate across our credit, equity, forex, and derivatives desks to learn each asset class and region we trade, and eventually assume ownership of our systematic trading programs. You will directly interact with both internal stakeholders and the broker dealer community. The collaboration and rotation amongst the team will enable you to become an expert in market microstructure and trading operations. Under mentorship from senior traders, you will build analytics and automation that enhance the level of sophistication and scale at which the firm wide trading program operates.
Responsibilities
- Monitor high‑volume execution algorithms and portfolio risk
- Track real‑time market developments
- Interface with external brokers and trading counterparties
- Contribute to the codebase underlying automated trading operations
- Build processes and technology to prevent errors or outages while increasing team capacity
- Provide insight and expertise to the research and development staff
- Work global market hours for a portion of every year on a rotational basis
Requirements
- Demonstrated passion for markets
- Proficiency in a programming language like Python or R
- Experience using a Unix‑like OS
- Academic or practical familiarity with statistics
- A skillset in data analysis and visualization
- Bachelor's degree in a scientific or quantitative discipline
- Attention to detail and clarity of thought
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Vaccination Requirement
The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID‑19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
Associate Member of Trading Staff employer: Quant Blueprint LLC
Voleon is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to grow and excel in their careers. With access to leading experts in machine learning and finance, competitive compensation packages, and a commitment to employee development, Voleon offers a unique opportunity to work at the cutting edge of investment management. The dynamic environment encourages continuous learning and provides the chance to make a meaningful impact in the world of trading operations.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Member of Trading Staff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Voleon. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a knack for Python or R, consider building a small project or tool related to trading. Share it on platforms like GitHub to showcase your talent.
✨Tip Number 3
Prepare for interviews by brushing up on market trends and algorithmic trading strategies. Being able to discuss current events in finance will impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Voleon.
We think you need these skills to ace Associate Member of Trading Staff
Some tips for your application 🫡
Show Your Passion for Markets:Let us see your enthusiasm for trading and finance right from the start. Share any relevant experiences or projects that highlight your interest in markets, as this will help us understand your motivation.
Highlight Your Technical Skills:Make sure to showcase your programming skills, especially in Python or R. If you've worked with data analysis or automation, give us the details! We love seeing how you can contribute to our tech-driven environment.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and structure your thoughts logically. This will not only make it easier for us to read but also reflect your attention to detail.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your information and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Quant Blueprint LLC
✨Know Your Markets
Before the interview, brush up on your knowledge of different asset classes like credit, equity, forex, and derivatives. Voleon is looking for candidates who are passionate about markets, so be prepared to discuss recent market developments and how they might impact trading strategies.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python or R during the interview. Be ready to discuss any projects or experiences where you've used these skills, especially in data analysis or automation, as this will demonstrate your ability to contribute to their trading operations.
✨Understand Machine Learning Applications
Since Voleon applies machine learning techniques to finance, it’s crucial to understand how these methods can be used in trading. Familiarise yourself with basic concepts and be prepared to discuss how you would apply them to improve systematic trading strategies.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their trading strategies, the technology they use, or how they foster collaboration between teams. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
