FDO Consulting Limited | Senior C# Developer, Analytics, Machine Learning, Home Based

FDO Consulting Limited
London
1 year ago
Applications closed

Job Description

Senior C# Full Stack Developer, Data Analytics Home Based with occasional trips to the office in London. Financial Service background a distinct advantage.

This role is a fantastic opportunity for a Senior C# Developer with experience building applications in the Azure cloud to join the Analytics team and be responsible for designing and building cutting edge technology and optimising and delivering statistical and financial models. Working closely with the Solution Architect, Data Scientists and the Test Engineer you will build the analytics platform in the Azure cloud. An experienced developer with excellent C# knowledge you will have strong design skills with extensive knowledge of design patterns. Ideally this experience will have been gained in a financial services environment.

Key Responsibilities -

  • Design, develop and deploy Azure cloud based applications using Azure services.
  • Design and implement Cloud based solutions that are scaleable and secure.
  • Build high performing code to industry standard design patterns
  • Further develop and enhance C# and Python based analytics models.
  • Perform proof of concept to integrate with new machine learning models using technologies such as Python, C++, C API.
  • Work on complex and data related problems.

Experience Required -

  • Strong background designing and building cloud based applications and DevOps practices.
  • 2 years Azure.
  • Strong C#/.net framework programming skills.
  • Strong experience of .net parallel programming.
  • Experience of building financial models in an advantage.
  • Machine learning experience is also an advantage.

This is an excellent opportunity to work in a financial service company and develop robust and scaleable analytics software. The role will be technically challenging and will give you exposure to machine learning. To be considered you will be an excellent senior developer with first class design and coding skills. It is likely you will have good knowledge of a number of languages with C#/net knowledge at expert level.

The role is home based with occasional trips to the office in London (expenses paid). If you have all the experience listed above please send your CV for a full brief.

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.