At a Glance
- Tasks: Join a dynamic team to develop and enhance trading strategies using advanced data processing techniques.
- Company: iSAM Securities, a leader in global equities statistical arbitrage.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting environment with potential for career advancement in finance and tech.
- Why this job: Make an impact in the fast-paced world of trading with cutting-edge technology.
- Qualifications: Strong Python skills, experience with NumPy/Numba, and knowledge of statistical methods.
The predicted salary is between 60000 - 80000 £ per year.
i SAM Securities is seeking a Quantitative Developer to join i SAM Helix, an Equities Statistical Arbitrage business line trading globally.
You will contribute to research, development and live trading, leveraging a graph-based DAG framework for high-performance data processing.
The ideal candidate has a strong Python background, expertise with Num Py/Numba and Unix, plus experience in statistical methods and DAG data processing.
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Quantitative Developer — DAG-Driven Trading & Research employer: iSAM Securities
iSAM Securities is an excellent employer for those looking to thrive in a dynamic and innovative environment. With a strong focus on employee growth, we offer opportunities for professional development and collaboration within our cutting-edge Equities Statistical Arbitrage team. Our work culture promotes creativity and high-performance, making it an ideal place for passionate individuals to contribute to impactful trading strategies while enjoying the benefits of working in a global market.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer — DAG-Driven Trading & Research
✨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 iSAM Securities!
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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 iSAM Securities.
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We think you need these skills to ace Quantitative Developer — DAG-Driven Trading & Research
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!
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Craft a Tailored Cover Letter:For a full-time role at iSAM Securities, 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 iSAM Securities. 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 iSAM Securities
✨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 iSAM Securities!
✨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.
