Intelligence Origination – Lead Editor
Gain
| Company | Gain |
| Category | Security |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 3 Aug 2026 |
| Source | Employer career page (recruitee) |
Description
Who Are We? Gain is the Private Markets Super App, a connected global platform transforming how leading investors, advisors, and corporates source, evaluate, and execute deals. By combining investment-grade intelligence, AI-powered workflows, and proprietary data in one unified platform, Gain enables top deal teams to move faster, reduce risk, and build conviction with confidence. Gain is trusted across more than $1 trillion of private capital, used by 100% of MBB and Big Four firms, and by 80% of the world’s top 20 M&A advisory houses. Recognized for fast innovation and impact, Gain has been named both US and EU Data Provider of the Year by PE Wire, awarded Global Financial Market Review’s Best Use of AI in Finance, and ranked in Sifted’s Top 100 Fastest-Growing Companies, the Forbes 1000, and the Deloitte Technology Fast 50. Gain operates globally with offices in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore. We are growing our Intelligence Origination team across Europe and the US. This team is responsible for sourcing proprietary, off-record insights on live private equity-related transactions, with a focus on collecting structured data points rather than writing news stories. We are looking for an editor to join our Intelligence Origination team. As the team's first dedicated editor, you will play a critical role in ensuring the accuracy, consistency and quality of our proprietary deal intelligence before it is published to our platform. Working closely with our Intelligence Originators across Europe and our newly established US team, you will review live deal data, validate journalistic standards and help continuously improve the quality of our coverage. Furthermore, you will identify recurring themes from your reviews and organise coaching sessions, workshops and best practice initiatives to develop the team's reporting capabilities. As the team in Europe grows, you will also have the opportunity to manage a team of up to five Intelligence Originators. Key Responsibilities Review live deal intelligence submitted by the Intelligence Originators before publication, ensuring accuracy, consistency and adherence to journalistic standards Validate information using established sourcing and verification methodologies Provide clear, constructive feedback to the team to improve the quality of future submissions Identify recurring trends, errors and development opportunities across the team Organise workshops and training sessions to improve reporting quality Manage a team of Intelligence Originators, supporting their performance and professional development What are we looking for? Strong knowledge of M&A, private equity and/or private credit markets Proven experience in financial journalism Exceptional attention to detail Strong understanding of source evaluation and fact-checking Ability to provide constructive feedback and coach colleagues to improve performance Strong organisational skills and the ability to manage multiple priorities in a fast-paced environment Previous team management or mentoring experience is a plus This role is ideal for someone with a strong background in financial journalism who enjoys coaching others, improving processes and maintaining exceptional editorial quality. What do we offer? Competitive base salary and annual bonus linked to your performance Attractive benefits including private medical insurance, health & wellbeing allowance, work-from-home budget, learning & coaching benefits, etc. Flexible hybrid working model with 2 days per week in our London office Healthy work-life balance allowing for planability and personal commitments Chance to grow with the company gaining increasing responsibilities, supported by lots of coaching and a feedback-driven approach Tremendous learning a
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