At a Glance
- Tasks: Create predictive models and develop innovative research strategies for trading.
- Company: Join a global financial services firm with a dynamic and inclusive culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Be part of a team that values creativity and problem-solving in finance.
- Why this job: Make an impact in the fast-paced world of trading with cutting-edge technology.
- Qualifications: Degree in statistics, machine learning, or computer science; Python expertise required.
The predicted salary is between 60000 - 80000 £ per year.
About Us
DV Trading is part of a global group of financial services firms utilizing their own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and across asset classes. Founded 20 years ago, and headquartered in Chicago, the DV group has grown to approximately 600 people operating throughout North America, Europe, the UAE, and Asia. DV affiliates include two broker dealers, a futures commission merchant, and a registered investment adviser.
Responsibilities
- Create predictive models utilizing financial data through statistical analysis methods
- Create robust solutions to problems presented in the trading environment
- Develop research strategies into production software
- Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
Requirements
- A degree in a technical discipline with a focus on statistics, machine learning, or computer science
- Experience working with trading desks
- Experience handling large data sets
- Expertise in Python
- Significant hands‐on experience applying algorithms to real‐world situations
- Strong problem‐solving and statistics skills
- The ability to proactively take the lead on assignments and deliver practical research results in a timely manner
DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
Senior Quantitative Researcher in London employer: Dormont Manufacturing Co
DV Trading is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong commitment to employee growth, we offer extensive training and development opportunities, empowering our team members to excel in their roles as Senior Quantitative Researchers. Located in the vibrant city of Chicago, employees benefit from a stimulating environment that encourages creativity and the pursuit of excellence in the fast-paced world of financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DV Trading. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of predictive models or research projects, make sure to highlight them during interviews. Real-world examples speak volumes about your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and statistical methods. Practice coding challenges and be ready to discuss how you've applied algorithms in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the DV Trading team.
We think you need these skills to ace Senior Quantitative Researcher in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with predictive models and statistical analysis. We want to see how your skills align with the responsibilities of a Senior Quantitative Researcher, so don’t hold back on showcasing your expertise in Python and handling large data sets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about trading and how your background makes you a perfect fit for DV Trading. We love seeing candidates who can connect their experiences to our mission.
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems using statistical methods or algorithms. We’re looking for those who can take the lead and deliver results, so make sure to illustrate your thought process!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at DV Trading!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Numbers
As a Senior Quantitative Researcher, you'll be expected to handle large data sets and apply statistical analysis. Brush up on your statistics and machine learning concepts, and be ready to discuss how you've used these skills in past roles. Prepare specific examples of predictive models you've created or algorithms you've implemented.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle real-world problems. Think of scenarios where you've developed robust solutions in a trading environment. Practice articulating your thought process clearly, as this will demonstrate your ability to lead assignments and deliver results.
✨Familiarise Yourself with Python
Since expertise in Python is a must-have, make sure you can discuss your experience with it confidently. Be ready to explain how you've applied Python in your previous projects, especially in relation to algorithm development and data analysis. If possible, prepare to showcase a small project or code snippet that highlights your skills.
✨Research DV Trading
Understanding the company’s operations and culture is crucial. Familiarise yourself with DV Trading's approach to liquidity provision and their trading strategies. This knowledge will not only help you answer questions more effectively but also allow you to ask insightful questions that show your genuine interest in the role and the company.