VP Product Developer — Institutional Banking Analytics in London

VP Product Developer — Institutional Banking Analytics in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Citigroup, Inc.

At a Glance

  • Tasks: Drive innovative product development in analytics for a global financial institution.
  • Company: Join Citi, a leading global financial services provider.
  • Benefits: Enjoy competitive salary, 27 days leave, hybrid work, and comprehensive health benefits.
  • Other info: Dynamic role with significant growth potential and a supportive workplace culture.
  • Why this job: Be at the forefront of data analytics and make a real impact in finance.
  • Qualifications: Experience in data analytics, strong communication skills, and project management expertise.

The predicted salary is between 80000 - 100000 £ per year.

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your domain knowledge in Credit Risk, Market Risk, Liquidity or Capital, and your skills in data analytics, problem solving and communication to Citi’s Product Development team within our Enterprise Data Office group. By joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Team/Role Overview

This solution design and execution focused product development role will enable implementation of target state processes and data & technology capabilities, through engagement with 1st line teams, Technology, and individual business product teams. Based in London, this role will position the right candidate for significant future growth potential in Data Analytics and Product Development.

What you’ll do:

  • Proactively engage in outreach to different business partners to dimension requirements, pair with your knowledge of data availability, and work together to define a product vision for a unified analytics platform.
  • Proactively contribute to the design, coding and deployment of enterprise-wide analytic products on structured and unstructured data.
  • Implement and manage data pipelines and analytical workloads, ensuring efficient data processing.
  • Develop plans, prioritize, coordinate design and delivery of products or features to product release, and serve as a product ambassador within the user community.

What we’ll need from you:

  • Experience designing, and implementing scalable data analytical solutions in a large-scale business environment.
  • Experience in deep analytic focused work leveraging Distributed File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server.
  • Domain experience in Credit Risk, Market Risk, Liquidity or Capital.
  • Experience in defining data strategy for advanced analytical initiatives, including data governance, sourcing, and ethical considerations, with demonstrated awareness of industry data practices.
  • Strong communication skills, with the ability to present complex technical concepts related to AI and advanced analytics to non-technical audiences effectively.
  • A proactive and self-motivated approach to managing multiple projects and priorities in a fast-paced environment.
  • Project Management skills with experience leading large cross functional initiatives.
  • Keen attention to detail and process/analytic mindset.

What we can offer you:

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

  • 27 days annual leave (plus bank holidays).
  • A discretional annual performance related bonus.
  • Private Medical Care & Life Insurance.
  • Employee Assistance Program.
  • Pension Plan.
  • Paid Parental Leave.

Alongside these benefits, Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

VP Product Developer — Institutional Banking Analytics in London employer: Citigroup, Inc.

Citi is an exceptional employer that offers a dynamic and inclusive work environment in the heart of London, where you can leverage your expertise in data analytics and product development to drive meaningful change within a global financial institution. With a commitment to employee growth, competitive benefits including generous annual leave, private medical care, and a hybrid working model, Citi empowers its employees to thrive both personally and professionally while fostering a culture of collaboration and innovation.

Citigroup, Inc.

Contact Details:

Citigroup, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land VP Product Developer — Institutional Banking Analytics in London

Tip Number 1

Network like a pro! Reach out to your connections in the finance and analytics sectors. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your previous projects in data analytics and product development. This will help you demonstrate your expertise and make a lasting impression during interviews.

Tip Number 3

Stay updated on industry trends! Follow relevant blogs, podcasts, and news sources to keep your knowledge fresh. This will not only help you in interviews but also show potential employers that you're genuinely passionate about the field.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining Citi and ready to take on the challenges ahead.

We think you need these skills to ace VP Product Developer — Institutional Banking Analytics in London

Credit Risk
Market Risk
Liquidity
Capital
Data Analytics
Problem Solving
Communication Skills

Some tips for your application 🫡

Showcase Your Domain Knowledge:Make sure to highlight your experience in Credit Risk, Market Risk, Liquidity, or Capital. We want to see how your background aligns with the role, so don’t hold back on sharing relevant projects or insights you've gained in these areas.

Be Data-Driven:Since this role is all about data analytics, emphasise your skills in tools like Python, Spark, and Databricks. We love seeing candidates who can demonstrate their ability to implement scalable data solutions, so include specific examples of your work!

Communicate Clearly:Strong communication skills are key! When writing your application, think about how you can present complex technical concepts in a way that’s easy to understand. We appreciate clarity and conciseness, especially when it comes to technical details.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Citi!

How to prepare for a job interview at Citigroup, Inc.

Know Your Domain Inside Out

Make sure you brush up on your knowledge of Credit Risk, Market Risk, Liquidity, and Capital. Be ready to discuss how your experience aligns with these areas and how it can contribute to Citi’s product development goals.

Showcase Your Technical Skills

Prepare to talk about your experience with tools like Python, Spark, and Databricks. Have specific examples ready that demonstrate how you've implemented scalable data analytical solutions in previous roles.

Communicate Complex Ideas Simply

Practice explaining complex technical concepts related to AI and analytics in a way that non-technical audiences can understand. This will show your strong communication skills and ability to engage with diverse teams.

Demonstrate Your Project Management Prowess

Be prepared to discuss your experience managing multiple projects and leading cross-functional initiatives. Highlight your proactive approach and attention to detail, as these are key for success in a fast-paced environment.