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Technical Product Lead, Global Equity and Multi-Asset Indices
About the Role
We’re looking for a versatile, technical product lead for a broad role in FTSE Russell’s Equities Product, Research & Design team. You’ll own product outcomes across our Equity and Multi-Asset index offering while shaping the direction of a new in-house AI tool built within Research – moving between index product work and hands-on technical product leadership.
This role suits someone who picks up unfamiliar problems fast and is energized by a fast-paced, ambiguous environment where decisions must be made at speed. Breadth, agility, a bias to action and a product-led approach matter more here than deep specialization.
About the Team
You’ll sit within Equities Product, Research & Design, currently as an individual contributor – though as the AI tool rolls out from internal users to external clients, we expect the product effort to grow into a team. Co-location in London with the Research team supports close, fast-moving collaboration.
What You’ll Do
- Drive product strategy and roadmap across the Equity & Multi-Asset index offering and the AI tool, aligned to global and regional priorities.
- Collect and categorize feedback from the AI tool’s users – internal today, external as it scales – and turn it into a prioritized feature roadmap, working with Research developers to ship.
- Engage clients and run market and competitive analysis to spot demand and growth opportunities, translating requirements into index enhancements and new solutions.
- Make pragmatic prioritization calls at speed, balancing client demand, technical effort, and commercial value.
- Partner with Sales and Marketing on positioning, go-to-market, and revenue growth across institutional and wealth segments.
- Bridge the engineers building the AI tool and the people who rely on it, and keep senior collaborators updated on progress.
What You’ll Bring
- A genuine product-led attitude – you start from the user and the problem and own outcomes, not tasks.
- Proven ability to thrive in fast-paced, ambiguous environments, deciding quickly and reprioritizing; versatile enough to switch context and pick up unfamiliar topics fast.
- Technical fluency to work credibly with software and AI/ML developers – no need to write production code, but you understand how AI products are built and shipped; experience supporting a software or data product, ideally AI/ML.
- Strong feedback-synthesis and prioritization instincts – comfortable saying no and defending trade-offs.
- 5+ years in product, technical product, or research roles, ideally in financial services or the index/data industry; familiarity with equity and/or multi-asset products, indices, and benchmarks (ETFs, funds, derivatives).
- Strong analytical and communication skills, and the ability to work effectively across research, technology, sales, operations, and marketing in a product-led organization.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Education
- Degree in Finance, Economics, Engineering, Mathematics, Computer Science, or a related field; a CFA or relevant technical/AI credential an advantage.
- Python coding, familiarity with data science workflows, and comfort using frontier AI tools would be a strong advantage.
Career Stage:
- Senior Associate
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.


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Working with us means that you will be part of a dynamic organization 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, color, 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.
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