At a Glance
- Tasks: Create predictive models and develop innovative research strategies for trading.
- Company: Join DV Trading, a global leader in financial services with a collaborative culture.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Other info: Dynamic team with a focus on innovation and real-world problem-solving.
- Why this job: Make an impact in the financial markets using cutting-edge technology and data analysis.
- Qualifications: Degree in statistics, machine learning, or computer science; Python expertise required.
The predicted salary is between 60000 - 80000 £ per year.
About Us
DV Trading is part of a global group of financial services firms utilizing their own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and across asset classes. Founded 20 years ago, and headquartered in Chicago, the DV group has grown to approximately 600 people operating throughout North America, Europe, the UAE, and Asia. DV affiliates include two broker dealers, a futures commission merchant, and a registered investment adviser.
Responsibilities
- Create predictive models utilizing financial data through statistical analysis methods
- Create robust solutions to problems presented in the trading environment
- Develop research strategies into production software
- Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
Requirements
- A degree in a technical discipline with a focus on statistics, machine learning, or computer science
- Experience working with trading desks
- Experience handling large data sets
- Expertise 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 employer: Dormont Manufacturing Co
DV Trading is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong commitment to employee growth, we offer extensive opportunities for professional development and the chance to work alongside industry experts in a fast-paced environment. Located in the vibrant city of Chicago, our team enjoys not only competitive benefits but also the unique advantage of being part of a global network that values creativity and strategic thinking in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to current or former employees at DV Trading on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and statistical methods. We should be ready to discuss how we've applied these in real-world scenarios, especially in trading environments.
✨Tip Number 3
Showcase our problem-solving skills! Think of specific examples where we've tackled complex issues using quantitative research. This will demonstrate our ability to deliver practical results, just like DV Trading expects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we're genuinely interested in being part of the DV Trading team.
We think you need these skills to ace Senior Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Quantitative Researcher role. Highlight your experience with predictive models, statistical analysis, and any relevant projects that showcase your skills in Python and problem-solving.
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 your background aligns with DV Trading's mission. Don’t forget to mention your experience with trading desks and large data sets.
Showcase Your Technical Skills:Be specific about your technical skills in your application. Mention your expertise in machine learning and any algorithms you've applied in real-world situations. This will help us see how you can contribute to our innovative research strategies.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Numbers
As a Senior Quantitative Researcher, you'll be expected to handle large data sets and apply statistical methods. Brush up on your statistics and machine learning concepts, and be ready to discuss how you've used them in past projects. Prepare specific examples that showcase your expertise in Python and algorithm application.
✨Understand the Trading Environment
Familiarise yourself with the trading strategies and risk management methodologies used by DV Trading. Research their approach to liquidity provision across different asset classes. This will not only show your interest in the company but also help you articulate how your skills can contribute to their goals.
✨Problem-Solving Mindset
Be prepared to tackle hypothetical problems during the interview. Think through your problem-solving process and be ready to explain your reasoning. Highlight any innovative solutions you've developed in previous roles, especially those that led to capturing trading opportunities.
✨Show Leadership Potential
Since the role requires taking the lead on assignments, demonstrate your ability to manage projects and deliver results. Share experiences where you've proactively led research initiatives or collaborated with trading desks to implement your findings. This will illustrate your readiness for the responsibilities of the position.
