Director, Index Research Platform Enineering - London Stock Exchange Group

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!!

FTSE Russell | LSEG Technology

A subsidiary of the London Stock Exchange Group (LSEG), FTSE Russell supports investors worldwide in making informed decisions across asset classes, investment strategies, and market segments. Its products are trusted by institutional and retail investors, asset managers, and pension funds to benchmark performance, build investment portfolios, and manage risk. With a reputation for innovation, transparency, and robust governance, FTSE Russell plays a critical role in shaping global financial markets-and you can be part of that impact.

ROLE SUMMARY:

This is a senior, hands-on technology leadership role at the intersection of quantitative research, software engineering, and commercial product delivery. You will lead the research industrialization agenda: building the technical environment that enables ideas to move from research to production and become marketable products. Developers come first in this role. You will earn experience-based trust across the wider R&D resource pool, federate quant developers and specialist contributors, and create the cohesion needed to move forward at pace. Based in Europe, you will help connect the community across Europe, Asia, and the Americas.

Key Responsibilities

• Set the technical vision and architecture for a production-grade research platform that accelerates the journey from quantitative idea to market-ready index, portfolio, data, or analytics solution
• Lead and federate the quant development community across the broader R&D organization, building trust through credible technical contribution, clear direction, and hands-on support
• Maintain a systemic view of R&D capacity and pipeline, identifying high-value factorization" opportunities: separating reusable shared assets from research-specific methods that should remain purpose-built
• Champion the research industrialization flow by bringing together developers, DevOps engineers, security officers, data analysts, and other embedded specialists around a coherent delivery environment
• Design durable patterns for experimentation, validation, deployment, observability, governance, and lifecycle management so that research outputs can be adopted confidently in production
• Remain a genuine developer: write and review modern Python and production-quality software, dive into difficult technical problems, and constructively challenge engineering decisions and implementation quality
• Make production centricity non-negotiable across methodologies, code, data, models, and the research platform; go beyond straight-line or happy-path testing to deliver reliable, supportable solutions that teams will actually use
• Partner deeply with Research counterparts, sustaining in-depth conversations on quantitative methods, assumptions, trade-offs, and scientific evidence across multiple asset classes
• Use AI as a practical accelerator for research and engineering, while shaping responsible adoption of machine learning, language models, and agentic workflows where they create measurable value
• Keep a strong commercial drive: serve the FTSE Russell Research agenda while identifying opportunities to package and monetize reusable solutions in the public market; experience deploying portfolio construction solutions is a significant advantage

WHAT YOU'LL BRING:

• Substantial experience leading quantitative technology, quantitative development, or research engineering initiatives, with a track record of federating communities and delivering through influence
• Recent, tangible hands-on software development experience; expert-level Python and confidence working with scientific and data engineering libraries such as NumPy, Polars, Pandas, SciPy, and related tools
• A robust academic foundation in Computer Science, Engineering, Statistics, Physics, Mathematics, or another quantitative discipline, enabling credible technical dialogue with researchers
• Broad financial markets expertise across multiple asset classes, with strong understanding of portfolio construction, quantitative research, investment processes, and index or benchmark methodologies
• Experience architecting and operating production platforms, including CI/CD, testing, observability, cloud infrastructure, data management, security, and operational governance
• Demonstrated ability to turn research into reliable products, with an obsession for production quality, reproducibility, maintainability, and adoption-not just successful prototypes
• Solid foundation in AI and machine learning, with practical experience applying or deploying language models, machine-learning models, or data-analytical systems; familiarity with agentic development is valuable
• Strong commercial judgement and ability to balance internal strategic priorities with opportunities to create reusable, externally valuable and monetizable capabilities
• Excellent communication and relationship-building skills, including the ability to establish trust with senior researchers, developers, and specialist teams across geographies
• Located in Europe, where the core community is concentrated and where the role is well positioned to extend collaboration into Asia and the Americas
• Preferred
• Experience deploying portfolio construction, optimization, or investment analytics solutions into production environments
• Track record of building shared platforms, libraries, or developer assets that increase the throughput of a wider quant research community
• Experience with AWS or comparable cloud platforms, data processing at scale, MLOps, model risk management, and secure software delivery
• Practical experience with large language model deployment, evaluation, retrieval-augmented systems, or machine-learning workflows used by analysts and researchers

Career Stage:

Director

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.

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung