Junior Consultant

Risk intelligence using AI and NLP

  • Location : London 
  • Salary : £31,000 - £35,000 
  • Nearest Station : Liverpool Street 
  • Application Closing Date : 15 November 2025 
  • Placement : Graduate Job ( permanent ) 
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    • London  
    • £31,000 - £35,000 
    • Liverpool Street 
    • 15 November 2025 
    • Graduate Job ( permanent ) 

    Job Description

    This UK-headquartered business is a recognised leader in digital due diligence and risk intelligence. Their proprietary technology blends AI and natural language processing to support clients across financial services, investment, and professional advisory sectors. With continued growth planned across 2026 and beyond, they're expanding their consulting team to deliver even more value to their global client base.

    Role overview
     
    They're looking for two Junior Consultants to join the Client Solutions team - helping clients get the best out of the platform, running product demos, and ensuring delivery runs smoothly. You'll act as the link between clients and internal teams, solving problems and translating technical details into clear outcomes.

    There's some research and report writing involved (summarising findings and insights), but the main focus is helping clients use the technology effectively and seeing the bigger picture of how it supports their risk management or investment decisions.
     
    You'll work alongside friendly, sharp professionals from finance, cybersecurity, and law - people who enjoy collaboration and knowledge-sharing. The culture is supportive and ambitious; you'll get full training, space to grow quickly, and exposure to senior-level clients early on.

    What you're good at:
    • Confident communicator with strong presentation skills
    • Logical thinker with sound problem-solving ability
    • Curious about technology (comfortable learning new platforms)
    • Detail-focused and organised - able to juggle multiple projects at once
    • Proactive in spotting small technical issues and knowing when to escalate
     
    Bonus points for:
    • Experience with SaaS platforms or client delivery work
    • Working with data or analytics
    • Interest in Regtech, AI or risk intelligence
    • Any familiarity with open-source research or due diligence
     
    Interview process:
    1. Initial interview - focused on motivations and communication style (virtual or in person)
    2. Timed remote task - testing your approach to problem-solving
    3. Final stage - one-hour presentation with Q&A
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