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

Mondrian Alpha
London
11 months ago
Applications closed

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.


Ready to make your application Please do read through the description at least once before clicking on Apply.

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.

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.