Senior Controls Product Manager - AI-Driven Risk

Monzo

United States

Hybrid

USD 112,000 - 152,000

Full time

4 days ago
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Benefits offered by this job

Incentive awards
Flexible working hours
Learning budget
Macbooks provided

Job summary

Monzo is seeking a Senior Controls Product Manager to lead the Controls Product & Enablement team in the Controls Discipline. You’ll own the core risk lifecycles, prototype automated workflows, and drive AI-enabled real-time risk intelligence across Engineering, Data, and Risk teams.

You’ll work hands-on to turn requirements into MVPs, then partner with Engineering to scale. Distributed UK role with London presence and flexible hours.

Qualifications

  • You think like a Product Manager: you obsess over user problems, prioritization, UX, and MVPs.
  • Hands-on builder: comfortable with data, automation, and prototyping a working MVP.
  • AI-curious & practical: experiment with AI/LLMs to automate tasks.
  • Understand risk & controls: knowledge of control design, RCAs, issues.
  • Thrive in ambiguity: start from first principles in a fast-paced setting.
  • Experience leading change programmes in Financial Services controls.

Responsibilities

  • Own the Controls Product Roadmap, vision, strategy, and backlog.
  • Prototype and build automated workflows, integrations, and low-code solutions.
  • Pioneer AI in risk management and automated evidence gathering.
  • Design real-time risk intelligence with data triggers and alerts.
  • Drive adoption with intuitive UI/UX and self-serve enablement.
  • Lead two data/automation specialists and maintain momentum.

Skills

Product thinking
Hands-on builder
AI curiosity
Risk & controls understanding
Ambiguity tolerance
Leadership experience

Tools

SQL
Python
APIs
Low-code tools

Job description

Monzo is seeking a Senior Controls Product Manager to lead the Controls Product & Enablement team in the Controls Discipline. You’ll own the core risk lifecycles, prototype automated workflows, and drive AI-enabled real-time risk intelligence across Engineering, Data, and Risk teams.

You’ll work hands-on to turn requirements into MVPs, then partner with Engineering to scale. Distributed UK role with London presence and flexible hours.

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