At a Glance
- Tasks: Build innovative trading tools and models for the commodities market.
- Company: Join DV Trading, a leading proprietary trading firm with a dynamic culture.
- Benefits: Enjoy competitive pay, flexible vacation, and comprehensive health insurance.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make an impact in the fast-paced world of commodities trading with cutting-edge technology.
- Qualifications: Degree in a quantitative field and experience in building trading tools.
The predicted salary is between 59400 - 72600 £ per year.
About Us: DV Trading, LLC is a proprietary trading firm with over 200 employees trading equities, fixed income, FX and commodity products. DV Commodities is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and other commodities across US, European, and Asian markets. Our combined risk management, world class technology, and human capital have enabled us to become one of the largest liquidity providers within the global energy complex.
Overview: DV is looking for a software engineer with a quantitative mindset to join a small team building the tools that power our commodities trading. You will work directly with traders and quants to turn ideas into production-grade quant trading tools, fundamental analysis models, and analytics, and you will own them from prototype through daily use.
Job Responsibilities:
- Work alongside traders, quants and other engineers to build quant trading tools, including signal research, backtesting frameworks, and strategy monitoring.
- Develop and productionize fundamental models for energy markets, such as supply/demand balances, inventory and flow analysis, and curve and spread models.
- Build analytics and visualization tools that give traders clear, timely views of markets, positions, and PnL drivers.
- Design data pipelines that ingest, clean and store market, fundamental, and alternative data from internal and third-party sources.
- Create efficient storage and access schemes for time series, reference, and fundamental data.
- Integrate models and tools with our event-based risk, market data and pricing platform.
- Test, monitor and document models and tools, and iterate quickly based on trader feedback.
Requirements:
- Bachelor’s degree or higher in CS, Engineering, Mathematics, Statistics, Physics or another quantitative discipline.
- 2+ years professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting.
- Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar).
- Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus.
- Experience building data pipelines and working with large data sets.
- Experience with SQL, NoSQL or tick databases.
- Experience with data visualization and dashboarding tools (e.g., Plotly/Dash, Streamlit, Grafana).
- Strong knowledge of algorithms, design patterns, and OOP; Java or C++ is a plus.
- Experience working in a Unix environment and git.
- Familiarity with Kafka, Docker, Airflow, or Luigi.
- Strong communication skills in verbal and written English, with the ability to work closely with traders.
- Domain knowledge in energy markets, futures and swaps is a plus.
Benefits:
- Discretionary bonus eligibility.
- Medical, dental, and vision insurance.
- HSA, FSA, and Dependent Care Options.
- Employer Paid Group Term Life and AD&D insurance.
- Voluntary LTD, Life & AD&D insurance.
- Flexible Vacation policy.
- Retirement plan with employer match.
DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.
Quantitative Software Engineer (DV Commodities) New London employer: DV Trading
DV Trading is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Senior C++ Low-Latency Trading Engineer, you will have access to cutting-edge technology and the opportunity for significant professional growth while working alongside industry experts in a fast-paced financial environment. The company prioritises employee development and provides a supportive atmosphere where your contributions directly impact the success of our proprietary trading platform.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Software Engineer (DV Commodities) New London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at DV Trading or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to DV Trading.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like DV Trading.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like DV Trading that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Quantitative Software Engineer (DV Commodities) New London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at DV Trading.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DV Trading and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at DV Trading
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If DV Trading uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
