At a Glance
- Tasks: Design and develop high-quality modelling solutions using Python and AWS.
- Company: Leading global firm in the financial sector with a focus on innovation.
- Benefits: Permanent position with competitive salary and opportunities for growth.
- Other info: Open to all levels of experience; great opportunity for learning and development.
- Why this job: Join a high-performing team and tackle exciting challenges in tech and finance.
- Qualifications: Strong Python skills and a curious mindset; experience in finance is a plus.
Quant Python Engineer Permanent Dublin.
My client a leader in their respected global market is in urgent need of a talented and experienced Quant Python Engineer to join them on a full time permanent basis.
This role would suit an engineer that has a inquisitive mind and is curious and eager to learn and adopt to new challenges and problems.
This role will sit in my clients tech teams but support a number of business unit globally.
They are looking to appoint a talented, highly motivated Senior Quantitative Engineer with a proven delivery record ideally in the financial domain delivering solutions on the AWS platform.
The successful candidate will join a high performing team of engineers delivering world class solutions as aligned with strategic directives.
Your key responsibilities will include working closely with their analytic services team, product management, and other engineering teams to deliver high-quality modelling solutions.
You will design and develop analytic and modelling solutions, automated tests, documentation, and related processes to meet and exceed the requirements of partners.
Lead the technical design efforts for analytic solutions.
Engage in architecture discussions at a portfolio and capital level and align solution architecture with wider enterprise architecture visions.
Successful candidates will have excellent Python experience (this will be commercial demonstrable experience) Experience debugging numerical computations and explaining results.
Experience using AI tools to increase productivity and streamline software development processes.
Experience in delivering high performing solutions using python, AWS and other modern technologies.
Experience leading innovation activities and proof of concept exercises.
My client is open to candidates that have less commercial experience and a great aptitude for Python and a Mathematical mind set for modelling and pricing.
But then my client is equally open to a more senior candidate that can bring the breath of experience to the team.
If this role sounds of interest drop me a CV so that we can speak in more detail
Quant Python Engineer Permanent Dublin employer: Adecco
Adecco is an excellent employer, offering a supportive work culture that values flexibility and work-life balance, particularly for the Seasonal DBS Cleaner role in Chelmsford. Employees benefit from a competitive pension scheme and various incentives, alongside opportunities for personal growth and development within a dynamic team environment, making it a rewarding place to contribute to the cleanliness of educational settings.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Python Engineer Permanent Dublin
✨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 Adecco!
✨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 Quant Python Engineer Permanent Dublin at Adecco.
✨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 Adecco.
✨Apply Directly through Our Website
When you find a suitable opening like Quant Python Engineer Permanent Dublin at Adecco, 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 Quant Python Engineer Permanent Dublin
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 Adecco, 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 Adecco. 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 Adecco
✨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 Adecco!
✨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.
