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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: Experience in business analysis and trade lifecycle understanding required.
- Other info: Collaborate with top stakeholders and enjoy excellent career growth.
The predicted salary is between 80000 - 120000 £ per year.
We are seeking a data leader who can drive the analysis, validation and optimisation of cross‑asset trading and post‑trade processes within a large, complex and highly regulated financial environment. This role sits at the centre of major multi‑year 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 data‑driven requirements into clear, actionable solutions. You will lead data mapping, influence system design, support change delivery and ensure trading and post‑trade processes meet the highest standards of accuracy, control and performance. You’ll work closely with senior stakeholders, technologists, product owners and SMEs, shaping business requirements, improving controls and data flow accuracy and contributing to enterprise‑wide operating model improvements.
Responsibilities
- Lead analysis across trade capture, lifecycle events and post‑trade 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
Skills and Experience
- Strong background in business analysis within capital markets or post‑trade
- 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
What's on Offer
- Salary up to £120,000, depending on experience
- Hybrid working model – 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’ll be in touch to discuss the role in more detail.
Data Lead - Business Analyst employer: Nigel Franks International
Contact Detail:
Nigel Franks International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead - Business Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. The more people you know, the better your chances of landing that Data Lead role.
✨Tip Number 2
Prepare for interviews by brushing up on your business analysis skills and understanding the trade lifecycle inside out. Be ready to discuss how you've tackled similar challenges in the past and how you can bring value to the team.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your experience with data mapping and Agile delivery. This will give you an edge and demonstrate your ability to translate complex requirements into actionable solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team and make an impact in the world of data.
We think you need these skills to ace Data Lead - Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Lead - Business Analyst role. Highlight your experience in business analysis, especially within capital markets and post-trade processes. We want to see how your skills align with the job description!
Showcase Your Skills: Don’t forget to showcase your technical skills, especially your knowledge of SQL and data mapping standards like FpML and ISO 20022. We’re looking for someone who can translate complex requirements into actionable solutions, so make that clear!
Be Clear and Concise: When writing your application, be clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
Apply Through Our Website: Finally, make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Nigel Franks International
✨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 you’re not just familiar with the concepts but can apply them effectively.
✨Master the Art of Communication
Strong communication skills are key for this role, especially when collaborating with senior stakeholders and product owners. Practice articulating complex ideas clearly and concisely. You might even want to prepare a few scenarios where you successfully communicated technical requirements to non-technical teams.
✨Prepare for Agile Discussions
Since the role involves working in Agile/Scrum teams, be ready to discuss your experience in these environments. Think about how you've contributed to Agile delivery activities in the past and be prepared to share specific examples of user stories or acceptance criteria you've defined.
✨Showcase Your Analytical Skills
As a Data Lead, you'll need to analyse data using SQL. Brush up on your SQL skills and be ready to discuss how you've used data analysis to influence decision-making in previous roles. Consider preparing a mini-case study that highlights your analytical approach and the impact it had on a project.