At a Glance
- Tasks: Enhance coding frameworks and modernise quant models using C++.
- Company: Join a small, expert team at nineDots.io, a leader in asset management.
- Benefits: Fully remote role with a competitive salary of £60K to £110K.
- Other info: Ideal for those seeking a dynamic and innovative work environment.
- Why this job: Integrate AI and make a real impact in finance modelling.
- Qualifications: Strong C++ background, preferably in finance or math-heavy environments.
The predicted salary is between 60000 - 110000 £ per year.
nine Dots. io is looking for a C++ Developer to join a small, expert team in the UK, enhancing the coding framework for asset management.
You'll work extensively on modernising quant models and complex calculations while integrating AI to improve engineering processes.
The ideal candidate will have a strong background in C++, preferably in finance or math-heavy environments, and an advanced degree.
This fully remote role comes with a salary ranging from £60K to £110K, based on experience. #J-18808-Ljbffr
Remote Quantitative Developer (C++ & Finance Modelling) in London employer: nineDots.io
At nineDots.io, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our fully remote setup allows for flexibility while providing competitive salaries and opportunities for professional growth in the dynamic field of finance and technology. Join us to be part of a small, expert team dedicated to pushing the boundaries of quantitative development and AI integration.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Quantitative Developer (C++ & Finance Modelling) in London
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When you find a suitable opening like Remote Quantitative Developer (C++ & Finance Modelling) at nineDots.io, 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 Remote Quantitative Developer (C++ & Finance Modelling) in London
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 nineDots.io, 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 nineDots.io. 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 nineDots.io
✨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!
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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 nineDots.io!
✨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.