Description

About Surity

Surity is building an AI-native credit intelligence platform for energy and commodity trading firms. We are moving from build into live client pilots with major energy trading counterparties and are growing the team to support the next phase: production installs, our first paying customers, and rollout across clients over the coming year.

The role

We are looking for someone who has implemented credit risk systems for real users, ideally in energy and commodities, and who combines business analysis, technical depth and client-facing delivery in one person. 

You will sit between our clients and the platform. That means managing client stakeholders through pilots and installs, turning what credit users ask for into clear requirements, training users on the platform, and checking that what we ship is right before clients see it. You will become one of the most fluent people in the company on the platform itself. 

This is a hands-on role. You will spend as much time in the detail (interrogating data, reproducing defects, working out why a recommendation is wrong) as you do in front of 
stakeholders. If something doesn't look right, we expect you to open it up and find out why.

CLIENT STAKEHOLDER MANAGEMENT 

• Own the day-to-day client relationship through pilots and installs: manage expectations, discuss priorities and agree timings with users
• Be the trusted point of contact between credit users and the Surity team 

REQUIREMENTS

• Gather requirements from credit stakeholders and business users, understand what 
  they are really asking for, and turn conversations into clear, testable requirements
• Shape and iterate on ideas before they pass to development, with enough credit 
  domain fluency to challenge a requirement rather than simply relay it 

CLIENT TRAINING AND ENABLEMENT

• Get deep on the platform early, then own user familiarisation and training at each client install.
• Explain functionality clearly to credit and front-office users and build their confidence 
  as installs go live

PLATFORM QUALITY AND AI VALIDATION

• Run structured, end-to-end walkthroughs of the platform, with proper test cycles and defect reports a developer can act on: reproduction steps, expected vs actual, severity
• Validate AI recommendations by tracing a credit output back to source data and business logic, and judge whether it is actually correct
• Investigate issues to root cause yourself: reproduce, isolate and describe a problem clearly enough that the fix is obvious 

Requirements

What we're looking for

• A first-principles problem solver who is happiest digging into data, configuration and 
  logic to work out why something is wrong
• Hands-on experience implementing or delivering credit risk management systems, as 
  a business analyst, technical analyst or implementation consultant, ideally for energy 
  and commodity trading firms
• Credit risk domain fluency: comfortable with counterparty credit concepts and able 
  to judge whether a credit output is correct
• A real technical grounding, whether a computer science background or equivalent 
  hands-on system configuration, data and testing work, and the ability to work with 
  developers
• Strong requirements skills, with the credibility to hold a conversation with a credit or 
  trading professional
• A confident communicator, at ease presenting to and training front-office and credit 
  users
• Self-directed and comfortable in an early-stage company: this is a broad role in a 
  small team, working directly with the founders
• Curious about AI and agentic systems, and keen to become an expert user of one