Investment Grade Credit Analyst (Data & AI)
SKILLS
FULL DESCRIPTION
Investment Grade Credit Analyst (Data & AI)
[Employer hidden — sign up to reveal] | Belfast | Full-time | Hybrid | Entry-level
About [Employer hidden]
[Employer hidden — sign up to reveal] is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. [Employer hidden — sign up to reveal] replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, [Employer hidden — sign up to reveal] powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, [Employer hidden — sign up to reveal] is accelerating toward becoming the category-defining platform for debt markets worldwide.
The Opportunity
We’re looking for an Investment Grade Credit Analyst to help uncover actionable insights across global credit markets—using data, technology, and AI to move faster and think broader than traditional research. This is not a modelling-heavy role. It’s about spotting trends, identifying relative value, and turning information into conviction.
What You’ll Work On
- Identify themes and trends across IG credit using earnings, transcripts, and market data
- Surface relative value opportunities across issuers, sectors, and ratings
- Use [Employer hidden — sign up to reveal] AI tools to scale your analysis across large universes
- Publish high-impact, timely research that investors actually use
- Turn complex data into clear, decision-ready insights
About You
This role will be a great fit if you:
- Have 0-2 years of experience in credit, fixed income, or related markets
- Have a strong instinct for what matters vs what’s noise
- Have the ability to synthesise information quickly and clearly
- Have an interest in using AI and data tools to work smarter
- Have a curious, self-motivated mindset and a desire to continuously learn
- Have strong attention to detail while maintaining a focus on the bigger picture
- Have a proactive approach to problem-solving and taking ownership of work
Our Benefits
We’re a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
Financial & Insurance
- Competitive salary benchmarked at 75-90th% of market
- Pension (your minimum contributions are 4% with [Employer hidden — sign up to reveal] matching up to 7%)
- Private Medical Insurance
- Paid sick leave with Income Protection for long periods of illness
- Group Life Assurance
- Season Ticket Loan & Cycle to Work schemes
Time off
- 25 holiday days per year
- Local public holidays (with the ability to exchange them for alternative days)
- Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
- Work abroad for up to 3 months a year
- 1 month paid sabbatical after 5 years of service
- Enhanced parental leave & flexible working arrangements available
Training & Culture
- Professional learning and development budget
- AI experimentation budget of £800 per employee to trial AI tools
- Bi-annual team socials
- Summer and Winter company social events
Equal Opportunities
At [Employer hidden — sign up to reveal] we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.
Application Instructions
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