Senior Product Manager, Applied AI — Financial Markets
AI in this role
We're hiring someone to lead applied AI products for our markets business — and we're looking for a specific combination that's rare by design. We believe the next generation of products in this space will be built by people who understand intelligence itself — how humans and machines represent problems, form judgments under uncertainty, and decide — and who have proven they can turn that understanding into products that ship, scale, and sell. If you've made the journey from studying how minds or models work to building things people rely on every day, this role was written for you.
What you'll do
- Shape and drive strategy, roadmap, and delivery for your AI product area — from user discovery through production launch and commercial outcomes.
- Develop a rigorous understanding of how our users reason and decide, and translate it into AI products that measurably improve their outcomes.
- Identify where modern AI genuinely beats conventional approaches across markets workflows — and where it doesn't. We expect evidence, not enthusiasm.
- Form your own product hypotheses, prototype them quickly, and back the ones the data supports.
- Ship responsibly in a regulated environment: define evaluation standards, guardrails, and auditability appropriate to financial markets.
- Stay close to the research frontier — in AI and in the science of cognition and behavior — and bring what's coming into our thinking early.
What you bring
- 4–8 years building and shipping products, with 2+ years on AI/LLM-powered products in production. We need someone who has owned outcomes in a commercial setting, not only studied the problem.
- Genuine depth in how intelligent systems — human or artificial — represent, learn, and decide. This might come from graduate study or research in ML, cognitive science, computational neuroscience, behavioral economics, or HCI; from publication-grade independent work; or from years of serious, demonstrable engagement with the science. We will probe this in interviews.
- Current engagement with the field: you read the papers, experiment with new models and tools as they emerge, and hold informed opinions about where this is going.
- Fluency in modern AI building blocks (LLMs, RAG, agents, evals), with the hands-on instinct to prototype your own ideas.
- Evidence of unconventional thinking that worked — a result, product, or prototype where you saw something others missed.
- Financial markets knowledge is a plus, not a prerequisite. The domain is teachable; the way you think is not.
Nice to have: an advanced degree or publications in ML, neuroscience, cognitive science, or a related field; experience with financial data, analytics, or other regulated/high-stakes domains; a portfolio of side projects or prototypes
Career Stage:
ManagerCompensation/Benefits Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $126,900 - $211,500.Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
Senior Product Manager, Applied AI — Financial Markets at LSEG rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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