National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Quantitative Developer C#.Net SQL Maths

client server
Newcastle upon Tyne
5 days ago
Create job alert

Quantitative Developer (C# .Net SQL Maths) Newcastle onsite to £150k+

Are you a mathematically minded Quantitative Developer with a first class education and strong programming skills?

You could be progressing your career, working on complex and interesting systems at a FinTech start-up, they have secure backing and an established Hedge Fund client as a partner.

As a Quantitative Developer you'll focus on integrating the mathematical models built by Investment Quants, creating scalable, performant and supportable cross asset class applications including APIs, UIs and tools. You'll be mainly using backend C# .Net and SQL.

There's an Agile, collaborative team environment with plenty of problem solving, learning opportunities and career development as the company scales.

Location / WFH:

You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!).

About you:

You have an outstanding record of academic achievement - minimum 2.1 in Mathematics or similar STEM discipline from a top tier university (i.e. Russel Group or top 100 global university), backed by A grades at A-level
You have commercial experience in a Quantitative Developer position at a buyside institution or Tier 1 bank
You have advanced C# .Net programming skills including .Net Core (will also consider Java, Python or C++ background if happy to use C# going forward)
You have a strong knowledge of SQL databases
You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms
You're entrepreneurial with good business acumen, keen to take ownership and lead projects
You're collaborative, enjoy problem solving and sharing ideas

What's in it for you:

As a Quantitative Developer you will receive a competitive package:

Salary (to £150k, negotiable)
Bonus
25 days holiday
Bupa healthcare
Generous pension contribution
Continuous career development opportunities
Social team atmosphere with a range of events and early finish for drinks on Fridays

Apply now to find out more about this Quantitative Developer (C# .Net SQL Maths) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.Tracking.aspx?atDrdqOET4DCsCdAqb8m9muwq5ikj%2bFrg

Related Jobs

View all jobs

Quantitative Developer C#.Net SQL Maths

Quantitative Developer C#.Net SQL Maths

Quantitative Developer C#.Net SQL Maths

Quantitative Developer C#.Net SQL Maths

Quantitative Developer C#.Net SQL Maths

Quantitative Developer C#.Net SQL Maths

National AI Awards 2025

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 to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.