Senior Quant Developer: Real-Time Pricing & Trading

Senior Quant Developer: Real-Time Pricing & Trading

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
dnevo Partners

At a Glance

  • Tasks: Design and implement pricing and optimisation models for live trading across global markets.
  • Company: dnevo Partners, a leader in quantitative finance and trading solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Join a dynamic team and make an impact in real-time trading with cutting-edge technology.
  • Qualifications: Advanced Python skills, experience in optimisation or ML, and knowledge of algorithmic trading.

The predicted salary is between 60000 - 80000 £ per year.

dnevo Partners is seeking a skilled quantitative engineer to design and implement pricing, hedging and optimisation models for live trading across global markets. You will collaborate with researchers and productionize models, while building Python tools for analysis and prototyping as well as robust Java applications to support 24/7 trading.

The role requires:

  • Advanced Python
  • Experience with optimisation or ML in finance
  • A background in electronic or algorithmic trading across liquid markets

Senior Quant Developer: Real-Time Pricing & Trading employer: dnevo Partners

dnevo Partners is an exceptional employer that fosters a vibrant startup culture, encouraging innovation and collaboration among its team members. With a strong focus on employee growth, the company provides clear pathways for career advancement in the rapidly evolving fintech sector across the UK and Europe. Join us to be part of a dynamic environment where your contributions directly impact our success and where you can thrive professionally.

dnevo Partners

Contact Details:

dnevo Partners Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Quant Developer: Real-Time Pricing & Trading

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like dnevo Partners!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Quant Developer: Real-Time Pricing & Trading at dnevo Partners.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like dnevo Partners.

Apply Directly through Our Website

When you find a suitable opening like Senior Quant Developer: Real-Time Pricing & Trading at dnevo Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Quant Developer: Real-Time Pricing & Trading

Quantitative Engineering
Pricing Models
Hedging Models
Optimisation Models
Python Programming
Machine Learning in Finance
Electronic Trading

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at dnevo Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at dnevo Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at dnevo Partners

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at dnevo Partners!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.