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- Tasks: Analyse data, enhance reporting, and support decision-making in a dynamic trading environment.
- Company: Join a leading global financial services firm driving data-driven transformation.
- Benefits: Enjoy a competitive salary up to £110k, bonuses, and hybrid work options.
- Why this job: Be part of an innovative team with great career progression in a fast-paced culture.
- Qualifications: Experience in data analysis, SQL, Power BI, and strong communication skills required.
- Other info: Work close to major tube stations in London, with a collaborative and forward-thinking team.
The predicted salary is between 66000 - 88000 £ per year.
Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | up to £110k + Bonus, Benefits
Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | up to £110k + Bonus, Benefits
1 week ago Be among the first 25 applicants
Direct message the job poster from VirtueTech Recruitment Group
Senior Recruitment Consultant at VirtueTech Recruitment
Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | £110k + Bonus, Benefits
A leading global financial services firm is seeking a talented Data Analyst to join their enterprise Data team, working closely with the Clearing or Market Making business stream. This role offers the chance to be at the forefront of a data-driven transformation within a dynamic and rapidly growing organisation.
The business provides market access, trading, and infrastructure services across major global markets, with a strong presence in commodities, energy, and financial products. The technology function is central to its operations, delivering innovative data solutions and infrastructure across global teams. This opportunity offers great career progression development working in a high-growth, fast-paced environment with global reach. You will be part of a be part of a forward-thinking technology and data team to work in a collaborative culture that values innovation.
The salary on offer for this Data Analyst Role, is up to £110,000 + Bonus and Benefits package.
The company works a hybrid model, with 3 days per week in the office, close to major tube stations including Liverpool Street.
As a Data Analyst you will:
As a Data Analyst embedded in the Clearing or Market Making stream, you’ll serve as the vital link between the business and technology. You\’ll collaborate with data creators, owners, and consumers to ensure data assets are defined, maintained, and leveraged to unlock value across the organisation.
Your work will contribute to process automation, enhanced reporting capabilities, and improved decision-making, helping ensure regulatory and compliance goals are met efficiently and effectively. Your role will be vital in cleansing and the enrichment of data for entrepreneurial business leaders and citizen developers with the tools to interrogate data sets to explore and unlock opportunities for new or data-driven products and services.
Key Responsibilities:
- Analyse structured and unstructured datasets across the clearing and/or market making domain.
- Map data flows, storage, and usage, aligning with best practices in governance and data architecture.
- Support data ingestion into the firm’s central data platform and ensure high-quality modelling for BI and ML applications.
- Maintain and improve a central data catalogue.
- Identify opportunities for cost optimisation and process improvement through data insights.
- Design and implement robust data models and reporting structures.
- Automate validation processes to enhance data quality and integrity.
- Collaborate with internal teams to resolve data-related issues.
Required Skills & Experience:
- Experience with transaction costs analysis, trade costs, or other similar analytics around trading performance and/or experience of working at a Futures Commission Merchant (FCM).
- Strong background in data modelling (conceptual, logical, physical).
- Proficient in SQL and Power BI (including DAX and data modelling).
- Experience with data pipelines, ETL/ELT tools, and scripting (Python, PowerShell).
- Familiar with data warehouse structures and quality assurance processes.
- Knowledge of Sprints/Agile methodologies and tools like Jira.
- Excellent communication and documentation skills.
If you are interested in this Data analyst role, please reply with your latest CV or send it to
Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | up to £110K + Bonus, Benefits
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology and Analyst
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Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | [...] employer: Virtuetech
Contact Detail:
Virtuetech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | [...]
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, especially Power BI and SQL. Consider taking online courses or tutorials to sharpen your skills in these areas, as practical knowledge can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the finance and data analytics sectors. Attend industry meetups or webinars to connect with people who work in similar roles. This can provide valuable insights into the company culture and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with data modelling and analytics during interviews. Be ready to share specific examples of how you've used data to drive business decisions or improve processes, particularly in trading or financial contexts.
✨Tip Number 4
Stay updated on trends in data analytics and the financial services industry. Being knowledgeable about current events and innovations can help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
We think you need these skills to ace Snr Data Analyst, Power BI | Cross-Asset Trading – Clearing & Market Making | London, Hybrid | [...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with Power BI and SQL. Emphasise any work you've done in trading performance analytics or with Futures Commission Merchants (FCMs).
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Mention your familiarity with data modelling, ETL/ELT tools, and your ability to collaborate with teams to resolve data-related issues.
Showcase Your Technical Skills: In your application, clearly outline your proficiency in Power BI, DAX, and SQL. Include specific examples of how you've used these tools to improve data quality or automate processes in previous roles.
Highlight Soft Skills: Don't forget to mention your communication and documentation skills. These are crucial for collaborating with internal teams and ensuring that data insights are effectively shared across the organisation.
How to prepare for a job interview at Virtuetech
✨Showcase Your Power BI Skills
Make sure to prepare examples of your previous work with Power BI. Be ready to discuss specific projects where you used DAX and data modelling to create impactful reports or dashboards.
✨Understand the Business Context
Familiarise yourself with the clearing and market making sectors. Understanding how data impacts trading performance will help you demonstrate your ability to bridge the gap between business needs and technology solutions.
✨Prepare for Technical Questions
Expect questions on SQL, data pipelines, and ETL/ELT processes. Brush up on your technical knowledge and be prepared to solve problems on the spot, as this role requires strong analytical skills.
✨Demonstrate Communication Skills
As a Data Analyst, you'll need to communicate complex data insights clearly. Practice explaining your past projects in simple terms, focusing on how your contributions led to improved decision-making or process optimisation.
