Python Developer - Software Developer - London - Hedge Fund - Systematic Strategy - Market-Leading Compensation

Mondrian Alpha
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Python Developer

Python Developer - Digital Transformation Team

Python/Data Science Developer

Remote Python Developer

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

AI Technical Lead

Our client, a prestigious London-based Hedge Fund, with over £5 billion in assets under management (AUM) seeks a senior Python Developer to join their core trading desk technology team. We are looking for Software Engineers with strong Python experience to join this fund with a focus on systematic trading strategies.


This is a unique opportunity for a Python Developer to be part of a dynamic, cutting-edge environment that offers unrivaled progression, autonomy, and the chance to unleash your creativity.


Responsibilities:

  • Collaborate with quantitative researchers and traders to develop and maintain robust and scalable Python-based trading systems and tools.
  • Design, implement, and optimize code to support high-frequency trading strategies, market data analysis, and risk management.
  • Contribute to the full software development lifecycle, including requirements gathering, testing, deployment, and post-implementation support.
  • Identify areas for improvement and propose innovative solutions to enhance trading efficiency and performance.
  • Work closely with cross-functional teams to integrate new technologies and methodologies into existing infrastructure.


Requirements:

  • Extensive experience as a Python Developer, ideally within the finance industry or a similarly demanding environment.
  • Strong proficiency in Python and related libraries/frameworks (NumPy, pandas, SciPy, etc.).
  • Solid understanding of algorithmic trading principles, market microstructure, and risk management concepts.
  • Previous exposure to systematic trading strategies, quantitative research, or high-frequency trading is highly desirable.
  • Proven ability to write clean, efficient, and well-documented code.
  • Experience with large datasets, real-time data processing, and distributed systems is advantageous.
  • Excellent problem-solving and analytical skills with a keen attention to detail.
  • Strong communication skills to collaborate effectively with both technical and non-technical stakeholders.


What they offer:

  • Competitive compensation package ranging between £250,000 and £300,000, commensurate with experience.
  • Unparalleled career progression opportunities within a leading hedge fund.
  • Autonomy and creative freedom to innovate and contribute to the firm's success.
  • State-of-the-art offices with exceptional amenities, including an onsite gym and a canteen providing complimentary breakfast, lunch, and dinner.
  • Full medical coverage and additional benefits.


Apply now with your latest CV and a cover letter highlighting your relevant experience and achievements.

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.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.