At a Glance
- Tasks: Develop and implement cutting-edge trading strategies in a fast-paced environment.
- Company: Join a rapidly growing proprietary trading firm with a global presence.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and performance.
- Why this job: Make a real impact by generating alpha in the equities market.
- Qualifications: Degree in statistics, machine learning, or computer science; strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
Overview
We are seeking a Quantitative Researcher to develop and deploy alpha-generating strategies within our equities business. This role is focused on identifying, testing, and scaling systematic signals in a fast‑paced proprietary trading environment. The ideal candidate has a demonstrated track record of generating alpha in equities and thrives in an environment that values ownership, speed, and performance.
Responsibilities:
- Research, develop, and implement systematic trading strategies across equities
- Generate and validate alpha signals using large, complex datasets
- Create predictive models utilizing financial data through statistical analysis methods
- Work closely with trading and engineering teams to deploy and optimize strategies in production
- Continuously refine models based on market behavior and performance feedback
- Explore new datasets, features, and methodologies to improve signal quality
- Create robust solutions to problems presented in the trading environment
- Develop research strategies into production software
Requirements:
- A degree in a technical discipline with a focus on statistics, machine learning, or computer science
- Experience working within proprietary trading environments, specifically equities product experience
- Demonstrated ability to generate and deploy alpha in equities markets
- Strong programming skills 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 - Equities London employer: DV Trading LLC
DV Trading is an exceptional employer, offering a dynamic and fast-paced work environment in the heart of London. With a strong emphasis on employee ownership and performance, we provide ample opportunities for professional growth and development, alongside a culture that values innovation and collaboration. Our commitment to inclusivity ensures that every team member can thrive and contribute meaningfully to our success in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Researcher - Equities London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at DV Trading. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past successes in generating alpha and how you've tackled complex datasets. We want to see your passion and expertise shine through!
✨Be Ready for Technical Challenges
Brush up on your programming skills, especially in Python. You might face some technical questions or challenges during interviews, so being prepared will show that you're serious about the role and ready to hit the ground running.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at DV Trading.
We think you need these skills to ace Senior Quantitative Researcher - Equities London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Quantitative Researcher role. Highlight your experience in equities and any alpha-generating strategies you've developed. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your programming skills; show us how you’ve applied them in real-world situations. If you've worked with Python or developed predictive models, give us some examples. We love seeing practical applications of your expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how you can contribute to our team. We appreciate a personal touch that reflects your enthusiasm for the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at DV Trading LLC
✨Know Your Numbers
As a Senior Quantitative Researcher, you'll need to demonstrate your understanding of statistical analysis and data interpretation. Brush up on key metrics and be ready to discuss how you've used data to generate alpha in previous roles.
✨Showcase Your Coding Skills
Since strong programming skills in Python are essential, prepare to showcase your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to financial data analysis before the interview.
✨Understand the Trading Environment
Familiarise yourself with proprietary trading environments and the specific challenges they present. Be prepared to discuss how you’ve navigated these challenges in the past and how you can contribute to optimising strategies in a fast-paced setting.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think of examples where you've developed robust solutions to complex issues in trading or research, and be ready to explain your thought process clearly.
