Senior C++ Algo Dev - 6 month FTC

Ingenii Search Ltd
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Computer Vision Engineer

Senior Climate Data Scientist

Senior Credit Data Scientist

Data Engineering & Data Science Consultant

Senior Data Scientist

Senior Data Scientist - CPG/Pharma experience

An excellent opportunity has arisen at a leading bank in the city for an Senior C++ Developer to join the Equities Algo team on a 6 month FTC. There is the potential for this to either be extended or go permanent.


This is an exciting role, as the team works across development, research, strategies and execution. The role will start off as on the Development side, but there is the opportunity to get involved in all aspects of the desk and also move your career forward specialising in any of these disciplines.


Some of the duties within the role include, but not limited to:


  • Research strategies for tailoring the pricing and controlling the behaviour of auto-hedging
  • Write production-quality code used for pricing and hedging equities instruments
  • Oversee the algos’ performance intraday, verifying that pricing and hedging is behaving as expected and acting when needed to fix issues


They are looking for a Senior C++ developer who has experience of building high performing, low-latency systems on either an Algo or e-trading desk.


In return they are offering an excellent remuneration package, plus huge bonus potential, a hybrid working model, low staff turnover, inclusive culture and excellent career progression and development opportunities.


Please apply to find out more about this exciting opportunity!

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.