IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. We are re-engineering our Business Operations processes so they are scalable, reliable, and efficient — the baseline we need to automate them and embed AI, including agentic AI, in how our business functions run.
As Process Transformation Specialist you will own that re-engineering end to end: map how processes really run today, redesign them to one global standard, build them into our systems, and embed them so every process is measured, repeatable, and ready for automation.
You'll start in HR & Recruiting, with the core Workday and Greenhouse processes: Hire & Onboarding, Offboarding, Position Management, and Change Job (incl. Mobility). As the method proves itself, you take it across other Business Operations functions, for example Finance, Procurement, and internal service operations.
What you'll do
Run the re-engineering cycle
- Map current-state processes end to end — exceptions, workarounds, handoffs, and the data transfer points between systems and regions. Process owners tell you how it works; you document it.
- Facilitate redesign workshops with functional leads and regional process owners; drive to a single global standard, with local deviation only where there is genuine need.
- Translate future-state designs into system requirements (Workday business processes, Greenhouse workflows, other Business Operations platforms), partnering with HRIS and system owners on the build.
- Define process metrics, establish baselines, and run the continuous-improvement cadence.
Build a process excellence capability across Business Operations
- Establish the reusable framework — standards, BPMN notation, templates, and a process repository — so every cycle gets faster than the last.
- Work with function leads beyond HR to prioritise and scope the next processes to re-engineer.
- Coach process owners so the improvement loop continues without you in the room.
Make processes ready for automation and AI
- Design processes that produce clean, structured data — the foundation for reporting, automation, and AI.
- Identify which steps AI should power, augment, or leave to people, and design the human-in-the-loop checkpoints — the groundwork for embedding agentic AI in our processes.
- Work alongside external partners where they accelerate the work, and transfer the capability in-house.
Land the change
- Plan and support change management: documentation, training, and adoption with teams and managers.
What you bring
- 6+ years in business process re-engineering, process excellence, or operational excellence, using formal methods (Lean, Six Sigma, BPMN, value-stream mapping), with redesigns you have taken through to implementation.
- Redesign experience in at least one Business Operations function, for example HR, Finance, Procurement, or shared services. Experience across several functions, and hire-to-retire in particular, is a strong plus.
- Hands-on experience with enterprise platforms. Working knowledge of Workday business processes (HCM and/or Financials) is a strong plus — if you know the method, we will help you learn the platform.
- Strong facilitation — you run workshops that get senior stakeholders to decisions, and you balance global consistency with local needs.
- Data literacy: you design processes with measurement in mind and are comfortable analysing process data.
- A pragmatic grasp of automation and AI workflow automation, integrations, and AI agents — and good judgement on where they add value.
- A change-management track record. You land redesigns, not just design them.
Nice to have
- Experience in a trading firm, fintech, or other fast-moving technical environment.
- Experience as a global process owner — accountable for a process end to end, not only its design.
- Process mining or modelling tools (e.g. Celonis, SAP Signavio).
- Lean Six Sigma Black Belt, BPM, or Workday certification.
- A consulting or enterprise transformation background.
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
