Senior Quantitative Analyst

Market microstructure research that actually ships into product. You'll join a specialist product group at one of the largest historical market data businesses in the industry, working across quantitative research, product development and client interaction, with direct access to exchange data environments most quant researchers never see. If you want your analysis to influence what gets built rather than sit in a notebook, this is the role.

The work

Your research shouldn't end when the model works. The interesting part starts when you ask why. You'll join a specialist product group where quantitative analysis drives real product decisions. This isn't a pure research desk and it isn't a commercial role. It's a blend of quantitative finance, data science and product strategy at a firm with one of the largest historical market data environments in the industry. You'll get access to exchange data at a scale that simply isn't available in most roles, working directly with experienced product leaders, data scientists and commercial teams. Far more exposure than a traditional quant research position.

What you'll be doing

You'll split your time between quantitative research, product development and client interaction.

• Build research, analytics and prototypes using large-scale historical order book data across futures and options markets
• Work with product and commercial teams to translate quantitative insights into solutions that solve real trading problems
• Help shape product direction by turning client feedback and market structure questions into new analytical capabilities
• Present findings to sophisticated clients and contribute to commercial conversations with evidence practitioners can use

What you'll need

You'll know the difference between producing a model and explaining what it means to traders, product teams and clients. The client-facing element of this role is substantive, and strong communication matters as much as the technical depth.

• Around five years as a Quantitative Analyst, with Python as your primary tool for statistical analysis and large datasets
• Strong knowledge of futures and/or options order book data, with broader exposure across financial markets
• The ability to explain complex quantitative concepts clearly to both technical and non-technical audiences
• SQL, cloud platforms or additional programming languages are useful, but not essential

What happens next

CV review, an introductory call, technical interviews, a final interview, then offer. We start with a confidential conversation, share the full brief, explain the business in detail and answer your questions before your profile is introduced.