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For Companies At a Glance
- Tasks: Join a dynamic team to develop cutting-edge risk management and trading platforms.
- Company: DV Trading is a leading proprietary trading firm with a strong global presence in financial markets.
- Benefits: Enjoy competitive pay, flexible work options, and a casual environment with great perks.
- Why this job: Be part of an innovative greenfield project that shapes the future of trading technology.
- Qualifications: Bachelor’s degree in a technical field; experience in Python, Java/C++, and distributed systems required.
- Other info: Competitive compensation package with opportunities for growth in a meritocratic culture.
The predicted salary is between 108000 - 144000 £ per year.
Overview
Quantitative Software Engineer role at DV Trading LLC.
DV Trading, LLC is a proprietary trading firm focused on equities, fixed income, FX and commodity products. DV Commodities is a rapidly growing division specializing in trading crude oil, refined products, natural gas, and related energy markets. The firm emphasizes risk management, world-class technology, and the development of a scalable 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 schemes for data and reference data across all frequencies, including microstructure data
- Build high-performance components for simulation and live trading
Requirements
- Bachelor\\\’s degree or higher in CS, Engineering or other technical discipline
- 2+ years professional experience developing infrastructure for quantitative trading
- Demonstrated ability to program in a scientific computing environment, preferably 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
Benefits
- Highly competitive compensation and bonus structure
- Meritocratic environment with ample opportunity for growth
- Blue Cross Blue Shield Medical PPO
- Health Savings Account, MetLife Dental, MetLife Vision Coverage
- Flex Spending Account
- Employer paid life insurance
- Optional Long-term Disability, and AD&D Insurance
- Pre-Tax Parking and Transit
- Casual work environment
About and Equal Opportunity
DV is not accepting unsolicited resumes from search firms. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
Senioriry level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
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Quantitative Software Engineer employer: DV Trading LLC
Contact Detail:
DV Trading LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Software Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Java, and distributed systems. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the financial services and trading sectors. Attend industry meetups or online webinars to connect with current employees at DV Trading or similar firms. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your understanding of risk management and trading systems during interviews. Prepare to discuss how your previous experiences relate to the responsibilities outlined in the job description, especially in developing scalable services for financial derivatives.
✨Tip Number 4
Stay updated on the latest trends in the commodities market and financial technology. Being knowledgeable about current events and innovations can help you engage in meaningful conversations during interviews and show your genuine interest in the role.
We think you need these skills to ace Quantitative Software Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Quantitative Software Engineer at DV Trading. Familiarise yourself with their trading platform and technologies they use.
Tailor Your CV: Highlight your relevant experience in software development, particularly in Python, Java, or C++. Emphasise any work you've done with distributed systems, large data sets, and financial derivatives to align with the job description.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for finance and technology. Mention specific projects or experiences that demonstrate your skills in risk management and trading systems.
Proofread Your Application: Ensure your application is free from errors. A well-written application reflects your attention to detail, which is crucial in a quantitative role. Consider asking a friend or mentor to review it before submission.
How to prepare for a job interview at DV Trading LLC
✨Showcase Your Technical Skills
Make sure to highlight your programming experience, especially in Python, Java, or C++. Be prepared to discuss specific projects where you've used these languages, particularly in a scientific computing environment.
✨Understand the Financial Domain
Familiarise yourself with futures, swaps, and the energy markets. Being able to speak knowledgeably about these topics will demonstrate your interest and understanding of the industry, which is crucial for a role at DV Trading.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Brush up on algorithms, design patterns, and data structures, as well as your experience with distributed systems and large datasets.
✨Communicate Clearly and Effectively
Strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as you’ll need to collaborate with traders and quants who may not have a technical background.
