Python Developer RAD – Equities

Oxford Knight
London
7 months ago
Applications closed

Related Jobs

View all jobs

Python/Data Science Developer

Full-stack Developer (Python)

Software Developer (C++/Python)

Software Developer (C++/Python)

AI Technical Lead, ex .NET C#, Microsoft Developer, AI Maverick Remote

AI Technical Lead

Salary:up to £150k + £75k bonus

Client

One of the world’s most prestigious hedge funds is looking for a Python developer to join their growing Equities Rapid Application Development (RAD) team.

This is a specialist team of engineers, quantitative developers and data scientists that builds bespoke tactical technology solutions (tools/dashboards/reports) for PMs and risk managers. Primarily developing in Python, you’ll work closely with a variety of Portfolio Management teams and therefore have the opportunity to interact with a diverse range of technologies.

To be successful in this role, you will enjoy facing off to the business, have a desire to work on fast-paced projects and have outstanding communication skills with both financial and technical people.

Skills and Experience Required

3-10 years’ experience, ideally developing with Python (pandas/numpy), although open to a Python/C++/Java mix Solid analytical problem-solving skills Financial markets (rates/fx/credit) experience and mathematics/modelling/statistics experience Advanced degree in Computer Science (or similar scientific field) from a top-tier university

Desirable Experience/Skills

Python data science stack and/or cloud technologies

Benefits & Incentives

Strong salary + bonuses Collaborative culture and an energetic, dynamic engineering atmosphere Build and share knowledge alongside top-tier engineers

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.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.