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- Tasks: Join a dynamic team to develop cutting-edge risk management and trading platforms.
- Company: Fast-growing financial services firm with a collaborative and innovative culture.
- Benefits: Competitive pay, health insurance, flexible spending accounts, and growth opportunities.
- Why this job: Make an impact in the finance world while working with modern technologies.
- Qualifications: Degree in CS or Engineering, programming skills in Python, and experience with large data sets.
- Other info: Casual work environment with a focus on meritocracy and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350 people operating throughout North America and in Europe. 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.
DV Commodities is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and related energy markets across US, Europe, and Asia. Our proprietary risk management and trading methodologies along with a strong ability to adapt to changing conditions has allowed DV Commodities to grow into one of the largest financial participants within the global energy complex.
Overview: We are looking for an experienced software developer to work with a small team responsible for development and daily operations of an event-based risk management, market data and pricing platform using modern and performant technologies. This effort is part of a greenfield project and the suitable candidate will be involved in the development of the overall trading system.
Responsibilities:
- Work alongside other software engineers, traders, and quants to develop and expand our risk management and trading platform
- Create scalable services for financial derivatives pricing and market data
- Efficient storage and access scheme for data and reference data across all frequencies, including microstructure data
- Building high-performance components for simulation and live trading
Requirements:
- Bachelor's degree or higher in CS, Engineering or other technical discipline
- Demonstrated ability to program in a scientific computing environment, preferably in Python/NumPy/Pandas
- Experience working with distributed systems and large data sets
- Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc.
- Experience with SQL, NoSQL, or tick databases
- Experience working in a Unix environment and git
- Familiarity with Kafka, Docker, AirFlow, Luigi
- Strong communication skills in verbal and written English
- Domain knowledge in futures & swaps is a plus
Highly competitive compensation and bonus structure. Meritocratic environment with ample opportunity for growth. Blue Cross Blue Shield Medical PPO. Flex Spending Account. Employer paid life insurance. Optional Long-term Disability, and AD&D Insurance. Pre-Tax Parking and Transit. Casual work environment.
DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
Quantitative Software Engineer in London employer: DV Trading
Contact Detail:
DV Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at DV Trading on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date with your best projects. This is your chance to demonstrate your coding chops and problem-solving abilities.
✨Tip Number 3
Prepare for the technical interview! Brush up on algorithms, data structures, and system design. Practising coding challenges can help you feel more confident when it’s time to showcase your skills.
✨Tip Number 4
Apply 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 the team at DV Trading.
We think you need these skills to ace Quantitative Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Software Engineer role. Highlight your experience with Python, distributed systems, and any relevant projects that showcase your skills in scientific computing. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working at DV Trading and how your background aligns with our mission. Be genuine and let your personality come through – we love to see enthusiasm!
Showcase Relevant Projects: If you've worked on any projects related to risk management or trading platforms, make sure to include them in your application. We’re keen to see your hands-on experience and how you’ve tackled challenges in similar environments.
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 proactive – a quality we value highly!
How to prepare for a job interview at DV Trading
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, NumPy, and Pandas. Brush up on your knowledge of distributed systems and be ready to discuss how you've used these tools in past projects.
✨Understand the Domain
Familiarise yourself with financial derivatives, futures, and swaps. Having a solid grasp of these concepts will not only impress your interviewers but also help you relate your technical skills to the specific needs of the trading platform.
✨Prepare for Problem-Solving Questions
Expect to tackle algorithmic and design pattern questions during your interview. Practice coding problems that involve threading and multiprocessing, as these are crucial for building high-performance components in a trading system.
✨Showcase Your Communication Skills
Since you'll be working closely with traders and quants, strong communication is key. Be prepared to explain your thought process clearly and concisely, both in verbal discussions and in any written assessments.
