Behavioural Developer

London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist Lead

Senior Data Scientist Consumer Credit

AI & Computer Vision Associate (KTP Associate)

Market Research Data Scientist - Public Sector

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Behavioural Developer
Location: London
Salary: Competitive
The Corporate Access and Research area is seeking an outstanding Associate Developer to strengthen its Behavioural Analytics team.
The Role
Your role will be to build on the team's qualitative linguistic analysis by leveraging new technologies (such as LLMs) or traditional NLP methods to help their equity portfolio managers better manage their investments. This role is great for someone with a passion for programming and application development who looks to apply themselves in an impactful field. You will get to build your own solutions from scratch, solving real business cases for your colleagues. Those with a background in computer science, generative AI or linguistics are encouraged to apply.

  • You will work with the latest Generative AI technology to mirror the qualitative linguistic analysis of the Behavioural Team.
  • Create a dashboard to visualise the Behavioural Teams data and create interesting insights for the portfolio managers.
  • Research and test other applications of linguistic methodologies to the financial sector, for example Phonetics, Computational Linguistics, Language and AI.
  • Support the investment team on all matters related to behavioural/linguistic methodologies.
  • Develop internal tools to automate and assist the team and share data across the fund.
  • Collaborate with internal developer teams to build robust and secure applications.
    Skills and Qualifications
  • Bachelor's or Master's degree in a relevant field with a strong academic background.
  • Proficiency in Python. Experience with SQL and AWS is a plus but not a necessity.
  • Experience with Generative AI. An interest in NLP or traditional machine learning is a plus.
  • Experience with dashboarding solutions (e.g. Streamlit, Tableau) is a plus.
  • Structured and self-driven, with a strong initiative to bring new ideas to the table.
  • Analytical creativity and intellectual curiosity with a strong attention to detail.
  • Proficiency in written and spoken English
    Benefits
    They offer everyone at the fund competitive pay, an engaging work environment, and an opportunity for personal growth and development. In addition, you can look forward to:
  • Staying healthy – They care about your health! That’s why they offer excellent health and dental benefits, including a comprehensive insurance for you and your family. You’ll also get a semi-annual physical exam, counselling services, and reimbursement of gym membership fees.
  • Recharge when you need to – All employees get 25 vacation days, and one extra for the last week of the year. When you’re taking time off, they provide access to holiday facilities in Norway and all over Europe, for you and your family. Find your charging station and come back energised!
  • Norwegian work-life balance – They believe that a healthy balance is crucial for your well-being. When you work here, you’ll be able to combine an exciting career in the world’s largest sovereign wealth fund with a fulfilling life outside the office. Of course, there are several social clubs and events within the fund too if you’d like to combine the two!
  • Planning for the long term – They contribute 10% of base salary to your pension plan, no cap, no vesting period. You can focus on the present and don’t worry about the future.
  • Spending time with family – Becoming a parent? Don’t stress! You’ll get 16 weeks, gender-neutral, full base pay, parental leave to spend with your child. Mothers get an additional 10 weeks of pregnancy related leave.
  • Work with Purpose – They work to safeguard and build financial wealth for future generations. Through responsible investment and active ownership, they help shape the future of their world.
    To Apply
    If you feel you are a suitable candidate and would like to work for this reputable company, please click apply to be redirected to their website to complete your application

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.