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- Tasks: Lead data analysis and optimisation in a dynamic financial environment.
- Company: Join a leading firm transforming Investment Banking technology.
- Benefits: Competitive salary, hybrid work, generous leave, and wellness perks.
- Why this job: Make a real impact on trading processes and data quality.
- Qualifications: Strong business analysis skills and knowledge of trade lifecycle.
- Other info: Collaborate with top stakeholders and enjoy excellent career growth.
The predicted salary is between 100000 - 120000 ÂŁ per year.
We are seeking a data leader who can drive the analysis, validation and optimisation of crossâasset trading and postâtrade processes within a large, complex and highly regulated financial environment. This role sits at the centre of major multiâyear transformation projects focused on data quality, trade lifecycle integrity and strategic change across Investment Banking technology.
This position is ideal for someone with strong business analysis expertise, deep understanding of the trade lifecycle, and the ability to translate complex operational, regulatory and dataâdriven requirements into clear, actionable solutions. You will lead data mapping, influence system design, support change delivery and ensure trading and postâtrade processes meet the highest standards of accuracy, control and performance.
You will work closely with senior stakeholders, technologists, product owners and SMEs, shaping business requirements, improving controls and data flow accuracy and contributing to enterpriseâwide operating model improvements.
Responsibilities- Lead analysis across trade capture, lifecycle events and postâtrade processes
- Own data mapping across multiple trading systems and ensure data accuracy
- Define clear business requirements, user stories and acceptance criteria
- Produce process documentation and support Agile delivery activities
- Collaborate with stakeholders to validate solutions and strengthen controls
- Strong background in business analysis within capital markets or postâtrade
- Experience with trade lifecycle data mapping and standards (FpML, ISO 20022)
- Knowledge of derivatives, settlements, confirmations and regulatory workflows
- Strong communication skills and experience working in Agile/Scrum teams
- Ability to analyse data using SQL and interpret technical/operational impacts
- Salary up to ÂŁ120,000, depending on experience
- Hybrid working model â twice per week in London
- Generous annual leave allowance
- Enhanced pension scheme
- Life assurance and private healthcare options
- A range of lifestyle and wellbeing benefits
This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we will be in touch to discuss the role in more detail.
Data Lead - Business Analyst in London employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Lead - Business Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes itâs not just what you know, but who you know that can help you land that Data Lead role.
â¨Tip Number 2
Prepare for those interviews by brushing up on your business analysis skills and trade lifecycle knowledge. We recommend practising common interview questions and scenarios related to data mapping and Agile delivery. Show them youâre the expert they need!
â¨Tip Number 3
Donât forget to showcase your SQL skills! Be ready to discuss how youâve used data analysis to drive decisions in past roles. We want to see how you can translate complex data into actionable insights that align with their needs.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, weâre always looking for talented individuals like you to join our team and make an impact in the world of data and AI.
We think you need these skills to ace Data Lead - Business Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the role of Data Lead - Business Analyst. Highlight your experience in business analysis, especially within capital markets, and showcase your skills in data mapping and trade lifecycle.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've driven analysis and optimisation in previous roles, and donât forget to mention your experience with Agile/Scrum teams!
Showcase Your Technical Skills: Since this role involves analysing data using SQL, make sure to include any relevant technical skills in your application. If youâve worked with FpML or ISO 20022, let us know â we want to see that expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itâs the best way for us to receive your application and get in touch with you about this exciting opportunity!
How to prepare for a job interview at Cyber Security training courses
â¨Know Your Data Inside Out
Make sure you have a solid grasp of data mapping and trade lifecycle processes. Brush up on standards like FpML and ISO 20022, as these will likely come up in conversation. Being able to discuss specific examples from your experience will show that youâre not just familiar with the concepts but can apply them effectively.
â¨Master the Art of Communication
Since this role involves working closely with senior stakeholders and various teams, practice articulating complex ideas clearly and concisely. Prepare to explain how you've successfully collaborated in Agile/Scrum environments and how youâve influenced system design in past projects.
â¨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to trade capture or post-trade processes. Think through potential scenarios where you had to define business requirements or improve data accuracy, and be ready to walk the interviewer through your thought process.
â¨Showcase Your Analytical Skills
Be prepared to discuss your experience with SQL and how youâve used it to analyse data. You might be asked to interpret technical impacts, so having a few examples of how your analytical skills led to actionable solutions will set you apart from other candidates.