At a Glance
- Tasks: Manage client relationships, gather requirements, and ensure platform quality for credit risk systems.
- Company: Join Surity, an innovative AI-native credit intelligence platform for energy trading.
- Benefits: Gain hands-on experience in a dynamic startup environment with growth opportunities.
- Other info: Work closely with founders in a small, collaborative team.
- Why this job: Be at the forefront of AI technology and make a real impact in the energy sector.
- Qualifications: Experience in credit risk systems and strong problem-solving skills required.
The predicted salary is between 63000 - 77000 £ per year.
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 involves implementing credit risk systems for real users, ideally in energy and commodities, combining business analysis, technical depth, and client-facing delivery. You will manage client stakeholders through pilots and installs, turning user requests into clear requirements, training users on the platform, and ensuring quality before clients see the product.
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 their needs, 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 for developers.
- Validate AI recommendations by tracing a credit output back to source data and business logic, and judge whether it is correct.
- Investigate issues to root cause yourself: reproduce, isolate, and describe a problem clearly enough that the fix is obvious.
What we're looking for
- A first-principles problem solver who enjoys digging into data, configuration, and logic to identify issues.
- Hands-on experience implementing or delivering credit risk management systems, ideally for energy and commodity trading firms.
- Credit risk domain fluency: comfortable with counterparty credit concepts and able to assess credit outputs.
- A solid technical grounding, whether from a computer science background or equivalent hands-on system configuration, data, and testing work.
- Strong requirements skills, with the credibility to engage with credit or trading professionals.
- 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.
Credit Risk Business & Technical Analyst (Client Delivery) employer: Surity.ai
At Surity.ai, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. Our team enjoys comprehensive benefits, ample opportunities for professional growth, and the chance to work at the forefront of AI technology in the energy and commodities sector. Located in a vibrant area, we offer a unique environment where employees can thrive while making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk Business & Technical Analyst (Client Delivery)
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Surity.ai. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Credit Risk Business & Technical Analyst (Client Delivery)
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Surity.ai.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Surity.ai's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Surity.ai
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Surity.ai.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Surity.ai will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Surity.ai employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
