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Citi

Securities Finance Product Manager – Data & AI Solutions (Senior Vice President)

London
Posted about 17 hours ago
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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

Are you a visionary problem solver with a passion for creative thinking and deep technical expertise in data and AI? Do you thrive in a dynamic, collaborative environment, working at the forefront of innovation? Citi is seeking an exceptional, hands-on Product Manager to lead the charge in developing and launching transformative Generative AI solutions within our Securities Finance business within Investor Services.

This is a unique role operating at the intersection of product, operations, and technology. Reporting to the Head of Data & AI Product, you will be a key partner in accelerating our ambitious data analytics, commercialization, and AI roadmap. You will not only define the "what" but also drive and engage in the "how," accelerating execution across Trading, Sales, Product, Technology, and Operations partners. Your primary mandate will be to identify and commercialize strategic opportunities for AI to solve critical business problems across Securities Finance, ensuring seamless integration with existing enterprise platforms and adherence to the highest standards of policy and governance.

What you’ll do

  • Partner and Deliver on the AI Strategy: Identify strategic opportunities for Data & AI to solve critical business problems across Securities Finance. Operate with a commercial mindset to prioritize the most impactful use-cases, define the path to commercialization, and deliver against a defined ROI.
  • Problem Solving & Innovation: Act as a relentless problem solver, deeply understanding business challenges within the capital markets landscape and translating them into innovative, AI-powered product solutions. Champion creative thinking and explore uncharted territories to accelerate delivery and create differentiation.
  • Discovery & Co-creation: Lead intensive discovery phases, collaborating closely with internal business clients, product specialists, operations, and engineering teams to uncover needs, define use cases, and co-create rapid prototypes. Facilitate workshops and design sprints to refine concepts and gather feedback.
  • Deep Technical Leadership: Possess a comprehensive understanding of the underlying AI models, scalable infrastructure, data pipelines, and deployment architectures. Work with engineers and architects to guide technical design decisions, ensuring the scalability, performance, and architectural integrity of Generative AI solutions in a regulated financial environment.
  • Industrialize & Scale Solutions: Oversee the end-to-end lifecycle of AI solutions, from initial prototype to industrial-grade product. Define clear paths to production, ensuring solutions meet enterprise-grade requirements for security, compliance, reliability, and maintainability.
  • Cross-functional Collaboration: Build strong relationships and foster seamless collaboration with diverse teams including Data Scientists, AI Researchers, Software Engineers, and Operations within or supporting Investor Services.
  • Market & Technology Acumen: Stay abreast of the rapidly evolving Generative AI landscape, including foundation models, tooling, ethical considerations, and competitive offerings. Translate complex technical concepts into clear business value propositions with a specific focus on their application within Securities Finance.
  • Stakeholder Management: Effectively communicate product roadmaps, progress, and impact to executive leadership, business stakeholders, and engineering teams. Manage expectations and navigate trade-offs with transparency.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What we’ll need from you

Education

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.

Professional Experience

  • Relevant experience across product development, data and AI, with a significant portion focused on AI/ML-driven products and heavy exposure in recent years to Generative AI.

Technical Expertise

  • Experience with Python, SQL and production analytics workflows; familiarity with big-data platforms such as Snowflake and Databricks; BI tools; APIs and workflow automation would be strong advanced. Demonstrated ability to design, build, and scale complex software systems, including experience with cloud architectures, distributed systems, and modern software development practices. Proven experience in architecting AI/ML solutions with a strong understanding of how to integrate with existing enterprise platforms.

Domain Knowledge

  • Strong experience within the Capital Markets domain is highly preferred. Specific experience in Securities Finance (e.g., Agency Securities Lending, Prime Brokerage, Repo, or Collateral Management) is beneficial but not a prerequisite.

Agile Environments

  • Experience working in agile product development environments.

Key Competencies & Skills

  • Proven Problem Solver: A track record of identifying complex problems and delivering innovative, data-driven solutions.
  • Creative & Strategic Thinker: Ability to think outside the box, challenge the status quo, and envision disruptive commercial possibilities with AI.
  • AI & GenAI Fluency: Deep understanding of the Generative AI ecosystem, including frontier models, AI patterns, prompt engineering, fine-tuning, and deployment strategies. Appreciative of the governance and control requirements needed to support a scalable and trustworthy suite of AI solutions.
  • Commercial Acumen: A strong ability to connect technical capabilities to business value, identify commercial opportunities, and drive for impactful results with a focus on ROI.
  • Executive Communication: Excellent communication, presentation, and interpersonal skills, with the ability to influence cross-functional teams and senior leadership.
  • Adaptability: Ability to thrive in ambiguity and adapt to a fast-paced, evolving technological landscape.

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What we can offer you

Join us as we build the next generation of financial products powered by Artificial Intelligence. This is an opportunity to strategically leverage Citi's enterprise platforms and capabilities to accelerate innovation and deliver unparalleled value. You will be empowered to make a significant impact, drive the future of finance, and accelerate your career at the forefront of Data & AI innovation within a world-leading financial institution.

We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.

By joining Citi London, 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:

  • Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
  • A discretional annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources

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.


Job Family Group: Institutional Sales

Job Family: Corporate Access

Time Type: Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.


Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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Skills

Generative AI
Product Management
Securities Finance
Data Analytics
Python
SQL
Snowflake
Databricks
Cloud Architecture
Capital Markets
Agile
Strategic Planning
Stakeholder Management
Machine Learning
API
Workflow Automation

Location

London, England, United Kingdom

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