Enterprise Risk Management (ERM) Program & Automation Lead, MALPB

The shape of it

In the posting’s own words

Having successfully established our foundational ERM policies, taxonomy, and risk registers, we are entering the integration phase. This team is building the future of "AI-Native" risk management—where governance frameworks are embedded into daily business operations through automated data pipelines, machine learning, and LLM orchestration.

What it asks for · 6

• Experience: 8+ years of experience in enterprise risk management, operational risk, or risk advisory within a regulated financial institution, FinTech, or Big 4 tech-risk consultancy.
• Execution Track Record: Proven experience successfully rolling out and integrating risk programs (RCSAs, KRIs, Control Libraries) into active, fast-paced operational business units.
• Technical Proficiency: Hands-on experience writing Python and SQL to query databases, manipulate data, and interface with standard web/REST APIs.
• AI/Automation Familiarity: Experience using modern LLM APIs, prompt engineering, or low-code/no-code automated workflow engines to analyze unstructured text or automate routine data tasks.
• Communication & Presence: Exceptional communication skills with a track record of effectively challenging senior business leaders and translating complex risk data into concise, Board-level narratives.
• Education: A Bachelor's degree in Computer Science, Data Science, Finance, Business, or a related quantitative field.

Also a plus

• Prior experience working in a heavily regulated FinTech environment, digital bank, or complex global payments processor.
• Deep knowledge of GRC software architecture (e.g., ServiceNow, Archer) and how to scale system configurations.
• Familiarity with international banking risk standards and regulatory expectations (e.g., COSO, ISO 31000, OCC Heightened Standards).

What the job covers

• Roughly 1/3rd of your time will be dedicated to ERM Integration and Execution: rolling out our mature risk framework to the First Line (1LoD), running the RCSA cycle, managing the control library, and synthesizing risk scorecards for executive and Board-level reporting.
• Roughly 2/3rds of your time will be dedicated to AI and Control Automation Design: acting as a hands-on developer to build and scale LLM tools, automated evidence-collection scripts, and real-time monitoring workflows that eliminate manual compliance overhead.

Degree language

• Education: A Bachelor's degree in Computer Science, Data Science, Finance, Business, or a related quantitative field.

Tools and skills named

Words the posting leans on

• risk22×
• control12×
• automated7×
• data7×
• experience6×
• business5×
• erm5×
• framework5×
• management5×
• operational5×
• governance4×
• llm4×
• rcsa4×
• requirements4×
• system4×
• apis3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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