Quantitative Developer

CAPULA LIMITED
London
3 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer

Cubist Quantitative Developer

Urgent! Quantitative Developer

Quantitative Financial Engineer

Quantitative Financial Engineer - Fully Remote

We are looking for a talented senior full stack developer with experience in building risk systems and databases. In this role, you will be responsible for the development, maintenance, and support of critical risk systems that calculate P&L, Value-at-Risk, Scenarios and Risk exposures across our portfolios.

You will be joining an innovative team and will be a key contributor to our suite of reporting and analysis tools, which provide insights to risk and trading teams through Python, Excel, and web-based platforms. You will operate within a highly collaborative environment with a diverse team of quantitative researchers, risk managers, and traders.

This position offers a unique opportunity to lead greenfield projects, designing and implementing new systems and tools from the ground up.

Duties and Responsibilities:

  • Development & Maintenance of Risk Systems
  • Greenfield Projects
  • Reporting & Analysis Tools
  • Support & Troubleshooting
  • Collaboration & Mentorship

Requirements

  • 7+ years of experience in a quantitative development role
  • Proven expertise in building and maintaining full stack systems
  • Experience leading new or greenfield projects and implementing end-to-end solutions
  • Background in hedge fund, asset management firm, or investment bank is advantageous
  • Advanced proficiency of C# and .Net
  • Knowledge of Python
  • SQL database design and integration
  • Full software lifecycle expertise
  • Experience of working in production environment
  • Strong communication skills
  • Excellent analytical and problem-solving abilities
  • Ability to operate in a rapidly evolving environment

Desired

  • Proficiency with messaging technologies such as Kafka or RabbitMQ
  • Financial markets knowledge, in particular Fixed Income
  • Risk analytics and financial models’ practical usage
  • Exposure to interacting with C++ libraries

Education and Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Mathematics, or a related quantitative field
  • Excellent programming skills and solid Maths or Science foundations

Benefits

Capula is committed to helping all employees flourish in their roles by supporting your professional development and offering exposure to challenges that you may not encounter in a larger organisation.

We will provide:

  • A competitive salary and bonus scheme with annual reviews
  • 25 days' paid annual leave
  • Excellent staff development and training opportunities
  • Free breakfast, lunch, and dinner in our employee restaurant
  • Medical insurance and other benefits

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.