At a Glance
- Tasks: Develop and configure MRB solutions on the Murex platform, focusing on VaR calculations and automation.
- Company: Join Talan, a multicultural tech company with a global reach.
- Benefits: Enjoy remote work flexibility and be part of exciting international projects.
- Other info: Collaborate in a dynamic environment with diverse perspectives.
- Why this job: Make an impact in finance technology while working with a passionate team.
- Qualifications: 5+ years of experience in MRB and strong skills in VaR and ANT scripts.
The predicted salary is between 60000 - 80000 £ per year.
Talan is seeking an experienced Developer with a minimum of 5 years' expertise in MRB within the Murex platform. This remote position provides an excellent opportunity to work from the Malaga hub as part of a multicultural team on international projects.
The ideal candidate should have strong skills in VaR calculations and ANT scripts configuration, as well as be passionate about data and technology.
Senior MRB Murex Developer — Remote, VaR & Automation in Edinburgh employer: Talan
At Talan Data x AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across our UK offices in London, Edinburgh, Manchester, Leeds, and Birmingham. Our commitment to employee growth is evident through our comprehensive benefits package, including a unique reward programme for sabbaticals, generous holiday allowances, and bespoke online learning opportunities, ensuring that our team members not only excel in their roles but also thrive personally and professionally in the fast-evolving field of data science and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MRB Murex Developer — Remote, VaR & Automation in Edinburgh
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior MRB Murex Developer — Remote, VaR & Automation in Edinburgh
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 Talan, 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 Talan. 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 Talan
✨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 Talan!
✨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.
