Permutable strengthens team with new hires

Permutable has strengthened its London team with the appointments of James Hamer and Radmehr (Rad) Shiadeh, adding further experience across commodities, applied machine learning, data engineering and production software as we continue to scale our award-winning market intelligence capabilities.

The two appointments come as we continue to build out the team behind Permutable’s real-time macro, commodities and geopolitical intelligence. As our platform grows, so does the need for engineers who can work with complex data at scale while maintaining the reliability, traceability and point-in-time integrity required for institutional use.

Bringing commodities and applied machine learning experience from LSEG

James joins Permutable from LSEG (London Stock Exchange Group), bringing experience from within the institutional commodities and financial-data ecosystem.

His background also combines geoscience with applied machine learning techniques to complex seismic datasets.

That combination is particularly relevant to the problems we are working on at Permutable: finding meaningful patterns within large, noisy datasets while retaining the context needed to understand what those signals actually mean.

James will work alongside the team as we continue to deepen our commodities and macro intelligence capabilities.

Strengthening our real-time data and engineering stack

Rad joins Permutable as a Software Engineer from Curve Analytics, where he spent 18 months building production data and software systems across LLM orchestration, distributed pipelines and cloud infrastructure.

His work at Curve included building an asynchronous distributed LLM and NLP orchestration service for multi-step entity resolution, classification and RAG-based verification, with a focus on reducing hallucinations and improving reliability at scale as well as

building and maintaining backend services and APIs across AWS.

That combination maps closely to the engineering challenges at the core of Permutable: ingesting large volumes of information in real time, enriching it with LLM-based systems, preserving data quality and lineage, and making sure the output remains correct and observable as the platform scales.

At Permutable, Rad will work across the data and backend infrastructure supporting our intelligence platform, including real-time ingestion, distributed processing and LLM-powered enrichment.

Building for the next stage

Commenting on the appointments, Wilson Chan, Founder and CEO of Permutable, said:

“As we scale Permutable, the engineering challenge is not simply about processing more data or adding more models. The systems have to remain reliable, observable and correct as complexity increases. James and Rad bring very complementary experience to that problem. James combines market and commodities exposure with applied machine learning, while Rad has already worked directly on distributed data pipelines, LLM orchestration and production infrastructure. Both strengthen the foundations of what we are building.”

The appointments form part of Permutable’s continued investment in its London team across engineering, AI, data and market intelligence.

Our focus remains on building systems that understand information as it becomes available, preserve what was actually knowable at each point in time, and turn that into intelligence that institutional teams can research, test and use.

We’re actively growing the team across engineering, AI and market intelligence, so if you’re interested in what we’re building, take a look at the current opportunities on our careers page.