Director of AI-Driven Risk & Compliance Engineering

Reuters

Greater London

Hybrid

GBP 150,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Career development
Mental health days
Tuition reimbursement

Job summary

Thomson Reuters seeks a Director of Risk Engineering & Assurance to lead the AI and data strategy across Risk & Compliance. You will build and scale a world‑class team, set technical direction, and partner with enterprise stakeholders to deliver automated assurance and continuous monitoring.

Ideal candidates have 12+ years in leadership roles delivering production‑grade AI and data platforms, with strong foundations in Python, SQL, and cloud services.

Qualifications

  • 12+ years in software/AI leadership with enterprise-scale delivery.
  • Experience delivering production‑grade software, data, and AI solutions.
  • Ability to translate complex business problems into scalable, well‑governed solutions.

Responsibilities

  • Set and own the Risk & Compliance AI and data‑product strategy and roadmap.
  • Lead the forward‑engineering central team and its hiring and capability development.
  • Partner with Data & Analytics and other stakeholders to deliver data products and automation.
  • Deliver priority data products and automation to mature risk and assurance.
  • Define operating disciplines for product management, taxonomy, and AI access.

Skills

Leadership
AI/ML leadership
Python
SQL
Cloud platforms
Snowflake
MCP
LangChain

Education

Bachelor's degree in a technical field

Tools

Python
SQL
Snowflake
AWS / GCP
LangChain
LangGraph

Job description

Thomson Reuters seeks a Director of Risk Engineering & Assurance to lead the AI and data strategy across Risk & Compliance. You will build and scale a world‑class team, set technical direction, and partner with enterprise stakeholders to deliver automated assurance and continuous monitoring.

Ideal candidates have 12+ years in leadership roles delivering production‑grade AI and data platforms, with strong foundations in Python, SQL, and cloud services.

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