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- Tasks: Join our team as a Data Analyst to streamline risk analysis and visualization in investment banking.
- Company: Be part of a leading investment bank transforming data management across asset classes.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Make an impact by simplifying complex data processes while collaborating with innovative teams.
- Qualifications: Strong analytical skills, familiarity with SQL, and knowledge of financial products like bonds and options required.
- Other info: Experience with agile methodologies and data analysis tools is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Candidate should have both a good understanding of the Markets business as well as some product knowledge (bonds, swaps, options etc), but also data analysis/data modelling skills. I don’t need someone with extensive coding experience, but they do need to be able to use data analysis tools, ie SQL to make sense of data, in the context of business problems. Objective is to consolidate, streamline and simplify the generation, analysis and visualisation of Risk within the Investment Bank onto strategic, cross-asset platforms. Wherever possible we are taking and enhancing existing best of breed solutions from across R&A and migrating other asset classes onto those solutions. The migration from a Legacy, siloed, asset class specific environment to a shared, cross-asset, platform is a complex one and we- re running that work as a programme. Within the programme there are a number of key work-streams including Risk Generation, Risk Publication, Market Data and Static Services, Trade Object
Services, Streaming Pricing, Price Generation, Analytics Integration, and Excel & Risk Tools.
Overall purpose of role
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Contribute to the stream Strategic Architecture Team as a senior XML Business Analyst & Data Modeler for the BarCapML project.
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Requirement Analysis and elicitation for any of the applications using the BarCapML messaging standards.
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Interact with end users to understand their requirement and build solution
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Interact with the CDO team to ensure the data definitions, data lineage and data governance requirements are in sync.
Key Accountabilities
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Work with Team/Project Leads to understand the functional scope of project work, questioning decisions and collaborating with end-users to ensure that business needs are met on a timely basis.
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Do business analysis to understand full scope of the project and document
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Create and Maintain detailed Micro documents, where applicable
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Draft schema design proposals for reviews by development managers and senior architect groups
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Review designs and providing feedback for components that are being implemented in other regions
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Write and review comprehensive work breakdown structures, providing rough-order-magnitude and detailed estimates, generating project plans and RAID (risk) logs
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Diagnosis and resolution of defects found during SIT, QA and UAT test phases
Strong knowledge on the industry message standards – FPML, SWIFT etc.
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Well versed with the various stages and the associated workflows within the Trade LifeCycle. Strong with at least one stage within the Trade Lifecycle
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Product knowledge – Exchange traded and/or Over-the-counter Derivatives.
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Analytical skills; ability to investigate and resolve issues in a high-pressured environment
Technical
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Hands on experience with tools like Notepad++, XMLSpy, VISIO, MagicDraw, GIT and/or alike
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Expertise on Excel/Access required; should know formulas and functions required for Data Analysis.
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Intermediate knowledge of at least one DB technology (Oracle, SQL Server). Should be able to write queries with conditions and joins
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Familiar with Data Analysis and its concepts.
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Excellent understanding of agile methodologies.
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Experience with test-driven development
Data Analyst employer: Fortice
Contact Detail:
Fortice Recruiting Team
+441179305192
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific data analysis tools mentioned in the job description, especially SQL. Practice writing queries that involve conditions and joins, as this will be crucial for your role in analyzing and modeling data.
✨Tip Number 2
Gain a solid understanding of the Markets business, particularly in relation to bonds, swaps, and options. This knowledge will help you contextualize the data analysis work you'll be doing and demonstrate your industry awareness during discussions.
✨Tip Number 3
Brush up on your knowledge of industry message standards like FPML and SWIFT. Being well-versed in these standards will not only enhance your credibility but also enable you to contribute effectively to the BarCapML project.
✨Tip Number 4
Engage with agile methodologies and familiarize yourself with the Trade Lifecycle stages. Understanding these concepts will allow you to navigate the complexities of the project more efficiently and collaborate better with your team.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure you have a clear understanding of the Data Analyst position and its requirements. Familiarize yourself with the Markets business, product knowledge (like bonds, swaps, options), and the specific data analysis tools mentioned in the job description.
Highlight Relevant Skills: In your application, emphasize your data analysis and modeling skills, particularly your experience with SQL and any relevant tools like Excel or Access. Provide examples of how you've used these skills to solve business problems.
Showcase Industry Knowledge: Demonstrate your knowledge of industry message standards such as FPML and SWIFT, as well as your understanding of the Trade Lifecycle. This will show that you are well-versed in the context of the role.
Tailor Your Documents: Customize your CV and cover letter to reflect the key accountabilities and responsibilities outlined in the job description. Use specific language from the posting to make it clear that you are a strong fit for the position.
How to prepare for a job interview at Fortice
✨Understand the Markets Business
Make sure you have a solid grasp of the Markets business, especially around products like bonds, swaps, and options. This knowledge will help you relate your data analysis skills to real-world business problems during the interview.
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis tools, particularly SQL. Highlight specific examples where you've used these tools to solve business issues or streamline processes.
✨Familiarize Yourself with BarCapML Standards
Since the role involves working with BarCapML messaging standards, it’s beneficial to familiarize yourself with these standards beforehand. This will demonstrate your proactive approach and readiness to contribute effectively.
✨Prepare for Technical Questions
Expect technical questions related to XML, data modeling, and the Trade Lifecycle. Brush up on your knowledge of industry message standards like FPML and SWIFT, as well as your hands-on experience with tools like Notepad++ and VISIO.