Senior Paraplanner

Bedford
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer

Senior Machine Learning Engineer

Senior Machine Learning Scientist

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Paraplanner Opportunity - Bedford
Salary: £45,000 - £48,000
Parking available, hybrid working 3 days a week in the office after probation period

An excellent opportunity is available for an experienced Senior Paraplanner to join a well-established and busy Financial Services Practice in Bedford. This growing firm has built a strong reputation in the industry, offering highly personalised financial planning and investment management services with a client-centric approach.

This is a key position within the business, working closely with the Managing Director and three Financial Advisers. You will have the chance to sit in on client meetings and be involved in the full financial planning process as a key support to the Advisers.

The company are aiming to stay up to date by implementing the latest technology including utilizing Financial Planning Artificial Intelligence. They are on a growth trajectory with additional hires planned across the year.

What’s on Offer?
Salary: £45,000 - £48,000
Exam Support
Hybrid Working (after probation)
Parking Provided
25 Days Annual Leave (+ Bank Holidays)
Direct exposure to client meetings and mentorship from the MD
Opportunity to train a Junior person in due course

Role Requirements

To be considered for this Senior Paraplanner role, you should have:

  • Level 4 Diploma Qualified

  • Previous experience within a Financial Services Practice

  • Ideally experience using Intelligent Office back office system, or similar

  • Strong analytical skills and experience with Cash Flow Planning

    What’s Next?
    Apply today to be considered for this Paraplanner position. If suitable, one of our specialist consultants will reach out to discuss the opportunity in more detail before submitting your CV. During this conversation, we’ll also explore any additional opportunities that match your skills and career goals

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.