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

Nominate & Attend

Quantitative Developer (London)

Intropic
London
3 days ago
Create job alert

Who We Are

We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning.Read a spotlight on Intropichere. Join us to help the world unlock the true power of information.

Who We Look For

We are a fin-tech start-up with a successful suite of products, now ready to build the next big thing. You must thrive working on open-ended problems across a range of disciplines; we are a start-up where our engineers do much more than just pick up JIRA tickets. A typical week may include debugging python, deploying infrastructure changes, talking to product early-adopters, and strategic planning with the team leads. We hire the person not the CV; if you’re interested, we’d love to hear from you!

This is a full time role, expected to start immediately.

Responsibilities:

  • Working with product managers, research analysts and other engineers to define project scope and requirements.
  • Maintaining, extending and improving Intropic’s suite of products.
  • Writing clean, well-tested and production-ready Python code.
  • Working alongside the team leads to design and build a great product
  • Developing REST APIs, data processing pipelines, and python libraries
  • Deploying production-quality code; we focus on being pragmatic and impactful
  • Maintaining and monitoring production systems and assisting with support

Requirements:

  • Strong communication with both a technical and non-technical audience
  • Independent and self-driven learner, able to step outside of their area of expertise
  • Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas
  • SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL
  • Cloud (AWS) deployments and monitoring, basic networking and security best practices
  • Command line familiarity, git, automated testing, modern software development best practices
  • Docker, terraform, CI/CD
  • Experience working with stakeholders and customers throughout the product life cycle
  • Experience with financial data (equity securities)Experience with traditional ML/statistical models
  • Experience with transformer LLMs

You’ll have the opportunity to experience a dynamic role where no two days are the same. You will be working with a diverse group of smart, passionate, and entrepreneurial thinkers who will help you grow and refine your skills, providing you with opportunities that will unlock your potential. We're seeking individuals with experience taking a new product to market, eager to contribute to a dynamic and growing team. We offer a competitive salary, along with employee stock options and performance-based bonus. Our benefits include private health insurance and a dedicated learning budget to support your professional development.

This role is on-site at our offices in 30 Churchill Place, E14 5RE, London. We do not offer remote working options for this role. Please further note that we do not provide immigration sponsorship for this position.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer - Low Latency

Quantitative Developer (Sports Trading)

Quantitative Developer (Sports Trading)

Quantitative Developer - C++

Quantitative Developer

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.