Quantitative Developer (DV Equities)

Quantitative Developer (DV Equities)

Internship 50000 - 70000 € / year (est.) No home office possible
DV Trading LLC

At a Glance

  • Tasks: Build and enhance trading tools while collaborating with a dynamic team.
  • Company: Join DV Trading, a rapidly growing independent trading firm with a global presence.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Work onsite in London and thrive in a collaborative environment.
  • Why this job: Make an impact in the financial markets using innovative technology.
  • Qualifications: Pursuing a degree in Computer Science or related field, with Python and C++ skills.

The predicted salary is between 50000 - 70000 € per year.

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.

Job Responsibilities

  • Build and improve a variety of proprietary trading tools to support trading desks across the business
  • Collaborate with other developers, tech leaders, traders, and researchers to outline the technical needs for each trading application
  • Work with technology and business stakeholders in an iterative fashion to deliver platform functionality
  • Develop greenfield innovative solutions to address business needs

Requirements

  • Expected to graduate with a degree in Computer Science, Computer Engineering, or related field by Summer 2026
  • Experience programming in both Python and C++ in Linux environments
  • Excellent analytical and creative problem-solving skills
  • Ability to work onsite at our London office 5 days per week
  • Coursework in statistics/mathematics preferred

DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Quantitative Developer (DV Equities) employer: DV Trading LLC

DV Trading is an exceptional employer that fosters a collaborative and innovative work culture, where Quantitative Developers can thrive in a dynamic environment. With a commitment to employee growth, we offer opportunities to work on cutting-edge trading tools and engage with diverse teams across the globe. Our London office provides a vibrant setting for professional development, ensuring that every team member contributes meaningfully to our mission of enhancing liquidity in financial markets.

DV Trading LLC

Contact Detail:

DV Trading LLC Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Developer (DV Equities)

Tip Number 1

Network like a pro! Reach out to current employees at DV Trading on LinkedIn or attend industry events. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Show off your skills! If you’ve got a portfolio of projects, especially in Python or C++, make sure to highlight them. We love seeing practical applications of your coding prowess!

Tip Number 3

Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle real-world problems!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining the DV family!

We think you need these skills to ace Quantitative Developer (DV Equities)

Python
C++
Linux
Analytical Skills
Creative Problem-Solving
Collaboration
Technical Needs Assessment

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Quantitative Developer role. Highlight your programming skills in Python and C++, and any relevant projects or coursework in statistics or mathematics. We want to see how your experience aligns with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about trading technology and how you can contribute to our team. Be sure to mention any collaborative experiences you've had, as teamwork is key for us.

Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them! Include examples of how you've tackled complex problems in your projects or studies. We love seeing creative solutions that demonstrate your analytical mindset.

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 gives you a chance to explore more about who we are and what we do!

How to prepare for a job interview at DV Trading LLC

Know Your Tech Stack

Make sure you brush up on your Python and C++ skills, especially in Linux environments. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.

Showcase Your Problem-Solving Skills

Prepare to demonstrate your analytical and creative problem-solving abilities. Think of examples from your coursework or previous experiences where you tackled complex issues, and be ready to explain your thought process.

Understand the Trading Environment

Familiarise yourself with proprietary trading tools and the financial markets. Having a basic understanding of how trading desks operate will help you engage in meaningful conversations during the interview.

Collaborate and Communicate

Since collaboration is key in this role, practice articulating your ideas clearly. Be prepared to discuss how you would work with tech leaders, traders, and researchers to meet their technical needs effectively.