At a Glance
- Tasks: Analyse data and develop automated datasets for a leading trading house.
- Company: Dynamic cross-asset trading house with a focus on innovation.
- Benefits: Competitive salary up to £120,000, bonuses, and comprehensive benefits.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Gain exposure to the full trade lifecycle and make impactful contributions.
- Qualifications: Strong understanding of derivatives and experience in data analysis.
The predicted salary is between 108000 - 120000 £ per year.
Data Analyst with strong Derivatives - OTC & ETD required for a Cross Asset Trading House. Working in the Chief Data Office, this role will be exposed to every aspect of the business from their front office trading desks, Middle office finance (Ledger, P&L), through to Settlements and Clearing.
As such, this Senior Data Analyst role requires the ability to work with different business stakeholders and understand their requirements as to what data they need and how they want to commercialise it. As a senior data analyst working in the CDO office your role will be to develop centralised automated datasets and models to meet business needs across the firm. Rapidly automating specified business requirements, advancing existing datasets and prototyping additional datasets and models.
This Senior Data Analyst role is 3 days per week in office.
Understanding of:
- Trade lifecycle
- Derivatives (OTC & ETD)
- Clearing
- Settlements
As a Senior Data Analyst you will get exposure across the full trade lifecycle, gaining extensive exposure to the firm's products, covering analytical requirements, booking models, source systems and data flows. Working closely with the business, you will be encouraged to enhance and develop existing datasets, prototype and iteratively develop new datasets and models, rapidly automating business requirements.
Data Analyst Senior – Cross Asset Trading House in London employer: VirtueTech Recruitment Group
Join a leading global energy trading business that prioritises innovation and employee development. With a collaborative work culture, you will have the opportunity to take ownership of impactful projects while benefiting from continuous learning and growth in a dynamic environment. Located in a vibrant area, this role offers unique advantages such as access to cutting-edge technology and a commitment to sustainability.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst Senior – Cross Asset Trading House in London
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We think you need these skills to ace Data Analyst Senior – Cross Asset Trading House 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!
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Craft a Tailored Cover Letter:For a full-time role at VirtueTech Recruitment Group, 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 VirtueTech Recruitment Group. 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 VirtueTech Recruitment Group
✨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 VirtueTech Recruitment Group!
✨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.
