VP Trade Data Lead Business Analyst
VP Trade Data Lead Business Analyst

VP Trade Data Lead Business Analyst

Full-Time 72000 - 84000 ÂŁ / year (est.) No home office possible
Jefferson Frank

At a Glance

  • Tasks: Lead data analysis for global trading functions and support key enterprise-wide data initiatives.
  • Company: A leading bank with a focus on innovation and strategic data management.
  • Benefits: Competitive salary up to ÂŁ100,000 plus bonus and opportunities for career advancement.
  • Why this job: Join a new team and influence the future of data strategy in investment banking.
  • Qualifications: Experience in investment banking and strong analytical skills required.
  • Other info: Dynamic role with exposure to AI/ML capabilities and multiple asset classes.

The predicted salary is between 72000 - 84000 ÂŁ per year.

A leading Bank is seeking a VP Data Lead Business Analyst to join a brand‑new function within their central data organisation. This is a strategic role positioned at the heart of the bank's data ecosystem, supporting global trading functions and driving the evolution of a key enterprise‑wide data platform.

About the Role

  • You will sit within the central data team responsible for the bank‑wide data store used for all trade capture across the Investment Bank.
  • With 70 projects running annually, this is a high‑impact, fast‑moving environment where you will work across multiple asset classes and be involved in both short‑term and long‑term transformation initiatives.
  • Supporting the migration and onboarding of internal consumers onto the central data store.
  • Conducting analysis on data needs, flows, and integration requirements.
  • Partnering with global business and technology teams as the function scales.
  • Longer‑term, the team is also beginning to explore AI/ML capabilities, giving excellent exposure to emerging initiatives.

What they’re Looking for

  • Experience working within Investment Banking, ideally covering Equity Derivatives, FX, Securities, or Rates.
  • Strong understanding of trade lifecycle, derivatives concepts, and market data.
  • Ability to work in a central data or cross‑asset environment, managing multiple stakeholders.
  • A proactive, analytical mindset suited to a high‑volume project pipeline.

Why Apply

  • Join a brand‑new hire in a strategically important function.
  • Step up into a VP‑level role with senior leadership visibility.
  • Influence the data strategy for an Investment Bank undergoing major modernisation.
  • Work across all trading areas while shaping how consumers interact with the firm’s core data platform.

VP Trade Data Lead Business Analyst employer: Jefferson Frank

As a leading Bank located in London, we pride ourselves on being an excellent employer that fosters a dynamic and inclusive work culture. Our employees benefit from competitive salaries, performance bonuses, and the opportunity to engage in high-impact projects that drive innovation within the financial sector. With a focus on professional growth and exposure to cutting-edge technologies like AI/ML, we empower our team members to shape the future of banking while enjoying a collaborative environment that values their contributions.
Jefferson Frank

Contact Detail:

Jefferson Frank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land VP Trade Data Lead Business Analyst

✨Tip Number 1

Network like a pro! Reach out to connections in the banking and data sectors. Attend industry events or webinars to meet potential colleagues and decision-makers. Remember, it’s all about who you know!

✨Tip Number 2

Prepare for those interviews! Research the bank's recent projects and their data strategy. Be ready to discuss how your experience with trade lifecycle and derivatives can add value to their new function.

✨Tip Number 3

Showcase your analytical skills! Bring examples of how you've tackled complex data challenges in the past. Use specific metrics to demonstrate your impact on previous projects—numbers speak volumes!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search—so don’t hesitate!

We think you need these skills to ace VP Trade Data Lead Business Analyst

Data Analysis
Investment Banking Experience
Understanding of Trade Lifecycle
Knowledge of Derivatives Concepts
Market Data Expertise
Stakeholder Management
Analytical Mindset
Project Management
Cross-Asset Environment Experience
Proactive Problem-Solving
AI/ML Capabilities Exploration
Data Integration Requirements Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the VP Data Lead Business Analyst role. Highlight your experience in Investment Banking and any relevant projects you've worked on that align with the job description. We want to see how your skills fit into our central data team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in trade lifecycle and derivatives concepts makes you the perfect fit. We love seeing genuine enthusiasm for the position!

Showcase Your Analytical Skills: Since this role requires a proactive, analytical mindset, make sure to include examples of how you've tackled complex data challenges in the past. We want to know how you approach problem-solving and what impact your work has had!

Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Jefferson Frank

✨Know Your Data Inside Out

Make sure you have a solid grasp of the trade lifecycle and derivatives concepts. Brush up on your knowledge of market data and how it flows through the investment banking ecosystem. This will not only help you answer technical questions but also show your passion for the role.

✨Showcase Your Analytical Skills

Prepare to discuss specific examples where you've conducted analysis on data needs or integration requirements. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your proactive approach in high-volume project environments.

✨Understand Stakeholder Management

Since this role involves managing multiple stakeholders, be ready to talk about your experience in cross-asset environments. Share instances where you've successfully partnered with global business and technology teams to drive projects forward.

✨Get Familiar with AI/ML Trends

As the team is exploring AI/ML capabilities, it’s a good idea to brush up on current trends in these areas. Be prepared to discuss how you see these technologies impacting data strategy in investment banking and how you can contribute to these initiatives.

VP Trade Data Lead Business Analyst
Jefferson Frank

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