Mondrian Alpha

Company Name: Mondrian Alpha
Job Title: Quantitative Developer
Job Description: Join an Elite Team of Quantitative Developers at a World-Leading Investment Firm

Take the next step in your career by joining one of the most technologically advanced and forward-thinking firms in the financial sector. We are seeking a talented Quantitative Developer to work with cutting-edge technology, delivering impactful solutions that drive global investment strategies.

This is your opportunity to collaborate with elite engineers, researchers, and portfolio managers to solve complex technical challenges, develop innovative systems, and make a meaningful contribution to the firm’s continued success.

About the Role
As part of the Quantitative Platform Team, you’ll build and maintain world-class systems that power research and trading capabilities. From handling large-scale data storage and processing to developing APIs, libraries, and user interfaces, you will create tools that empower researchers and traders to outperform in global markets. Operating in a cloud-first, containerized environment, you’ll have access to the latest technologies and the opportunity to work on high-impact projects across multiple domains.

Key Responsibilities
Develop platforms for large-scale data storage, transformation, and analysis using state-of-the-art distributed computing and cloud technologies.
Collaborate closely with researchers, portfolio managers, and other technologists to deliver solutions that drive trading performance.
Write clean, robust, and well-tested code for backend services, data pipelines, and user interfaces.
Continuously improve the firm’s technology stack by adopting cutting-edge tools and optimizing performance.
Engage in knowledge-sharing, code reviews, and design discussions to foster innovation and collaboration across the team.

What We’re Looking For
5+ years of professional development experience in C#, Python, or C++.
A strong foundation in computer science principles and software engineering.
A collaborative mindset with a passion for working closely with research and trading teams to solve business challenges.
An interest in staying ahead of the latest technology trends, with the ability to evaluate and adopt new tools where they add value.
Proven problem-solving skills that span across technologies and business domains.

Nice-to-Have Skills
Experience with cloud-based systems (e.g., AWS) and tools like Docker, Kubernetes, or Kafka.
Expertise in handling large datasets using frameworks like Spark or file formats like Parquet and Arrow.
A background in quantitative finance, hedge funds, or similar industries.
Familiarity with front-end development using frameworks like Angular or React.

Technology Stack
Languages: Primarily C#, with Python and C++ for specialized use cases.
Infrastructure: AWS cloud environment, Kubernetes for container orchestration, and Docker for scalable deployments.
Messaging and Communication: Kafka for low-latency communication.
Storage: S3 and relational databases for data persistence.
DevOps: GitHub for source control, Jenkins for CI, and GitHub Actions for automation.

Why Join?
This firm combines the best of finance and technology in an environment designed to support your growth and creativity. You’ll have access to:

A state-of-the-art office in London with on-site amenities, including a gym, private GP, barista, and rooftop terrace.
A collaborative culture where teamwork, innovation, and knowledge-sharing are highly valued.
Opportunities to work on high-impact projects that directly influence investment performance.
A flat structure that encourages direct interaction with senior researchers and portfolio managers.
Flexibility for remote work when needed, alongside a dynamic in-office environment that fosters collaboration.

This is your chance to join a firm that combines innovation, technology, and world-class talent to achieve outstanding results.
To apply, please send your resume to this application or contact moses.lynn@mondrian-alpha.com.

London, United Kingdom

Remote

03-02-2025

Company Name: Mondrian Alpha
Job Title: Software Engineer – Systematic Hedge Fund – Industry Leading Compensation Package.
Job Description: An industry-leading systematic hedge fund is seeking exceptional quantitative software engineers to join its London team. This firm operates at the cutting edge of high-performance computing, AI-driven trading strategies, and ultra-low latency execution, competing at the highest levels of global financial markets.

This opportunity is tailored for individuals with extraordinary technical ability, particularly those with backgrounds in high-frequency trading, AI research labs (DeepMind, OpenAI, FAIR), or advanced computational engineering teams at organizations like Google Brain, Nvidia, or SpaceX.

This systematic trading firm has built one of the most sophisticated technology infrastructures in the financial industry, enabling real-time decision-making at an unprecedented scale. The environment is highly selective and research-driven, where engineers and quantitative researchers work collaboratively to solve some of the most complex computational problems in finance.
The team focuses on ultra-low latency architectures, self-learning trading models, and high-performance execution systems. With an approach that merges machine learning, distributed computing, and hardware acceleration, this firm attracts the world’s best engineers and researchers who thrive in a culture of intellectual rigor and deep problem-solving.

Key Responsibilities
Architect and optimize real-time execution systems that operate at the absolute limits of computational efficiency.
Develop self-learning trading algorithms that evolve autonomously in live environments.
Engineer customized infrastructure, leveraging FPGA acceleration, GPU-based reinforcement learning, and high-performance C++/Rust systems.
Build bespoke compiler optimizations and low-level software that interacts directly with hardware.
Optimize microsecond-level network performance, ensuring the fastest possible signal processing and execution speeds.
Work in a highly autonomous environment, where direct contributions impact the firm’s trading performance.

Technology Stack
The firm operates on a best-in-class technology stack, incorporating:
Programming Languages: C++, Rust, Python, CUDA
Hardware Acceleration: FPGA, custom ASICs, GPU-driven ML
Machine Learning & AI: Reinforcement learning, adversarial models, real-time signal processing
Distributed Computing: High-throughput data pipelines, custom real-time databases, parallelized computing
Low-Latency Systems: OS bypass, direct memory access, kernel-level optimizations

Ideal Candidate Profile
A PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field from a top-tier institution.
Extensive experience in high-performance computing, algorithmic trading, or large-scale AI/ML systems.
Expertise in low-level programming, high-speed networking, and distributed architectures.
A background in quantitative trading, AI research labs, or elite engineering teams where problem-solving is at the core of the role.
A deep understanding of probability theory, convex optimization, and computational mathematics.
Demonstrated ability to build and optimize mission-critical systems that operate under extreme constraints.

Why Join?
Work alongside world-class engineers, AI researchers, and quantitative traders in an intellectually stimulating, high-impact environment.
Access to unlimited compute power, real-time market data at scale, and proprietary infrastructure built for speed and efficiency.
A compensation structure that significantly exceeds the technology industry, with a direct link to performance and impact.
A culture of intellectual freedom, rapid iteration, and minimal bureaucracy, where engineers have the autonomy to push the limits of what is possible.
The opportunity to work on some of the most complex and high-stakes computing challenges in existence.

For highly qualified candidates with a background in elite computational engineering, this opportunity represents a rare chance to work at the forefront of systematic trading. Apply directly at me@mondrian-alpha.com or via the link attached.

London, United Kingdom

On site

11-02-2025

Company Name: Mondrian Alpha
Job Title: Software Developer | Prestigious Hedge Fund | Lucrative Compensation Package
Job Description: Software Developer | Prestigious Hedge Fund | Lucrative Compensation Package
An opportunity has arisen at a world-renowned systematic hedge fund, recognized for its technology-driven approach to trading global markets. This firm is at the forefront of innovation, leveraging advanced quantitative analytics and cutting-edge infrastructure to maintain its competitive edge.

As a Software Developer, you will work in a high-caliber engineering team, collaborating with quantitative researchers, traders, and technologists to develop and optimize critical trading systems. This is a unique chance to be at the heart of a fast-paced, high-impact environment where technology plays a direct role in investment success.

The Role:
Build and maintain high-performance trading, risk, and pricing systems.
Work with C#/.NET, Java, or Python to develop robust, scalable infrastructure.
Design and optimize SQL database solutions to support large-scale data processing.
Contribute to the full development lifecycle, from architecture and implementation to testing and deployment.
Collaborate closely with quantitative researchers and portfolio managers to deliver innovative solutions.
Stay ahead of industry and technology trends, ensuring best-in-class development practices.

What You Bring:
Strong programming experience in C#/.NET, Java, or Python.
Deep understanding of SQL databases and their optimization.
A passion for technology, problem-solving, and finance.
Ability to manage end-to-end development projects, from design to production.
A 2:1 or higher in Computer Science or a related field from a top-tier university.
Strong academic background, with A-Level grades of A/A/B* (or international equivalent).

What’s on Offer:
Market-leading compensation, including significant performance-based bonuses.
Work alongside some of the brightest minds in technology and quantitative trading.
A fast-paced, collaborative environment where innovation is rewarded.
Cutting-edge development tools and high-performance workstations.
Opportunities for career progression within one of the most prestigious funds in the industry.

Interview Process:
CV Review
Online technical assessment
Pair programming and deep-dive technical interviews with senior engineers and management

This is an exceptional opportunity to accelerate your career within a firm that places technology at its core.

London, United Kingdom

On site

11-02-2025

Company Name: Mondrian Alpha
Job Title: Site Reliability Engineer - Leading Trading Firm - Algo Trading - £250k
Job Description: A global, leading investment firm (trading for almost 30 years) that specializes in quantitative investing and data science is seeking a skilled Site Reliability Engineer to join their London office. The SRE team here leads engineering and operational support for the funds algo trading activities. The fund has experienced year on year growth for the last 3 years and is continuing to span regions and strategies.

You'll be working closely with both the business and development teams across the firm, covering everything from data ingestion and quant platform through to execution and post-trade activities.

Maintain stability and reliability for essential production systems supporting our Investment Strategy and Execution teams.
Enhance the companies technology infrastructure to align with ambitious and dynamic business goals.
Address user-reported issues promptly and effectively, diagnosing root causes and implementing measures to avoid recurrence.
Assist in advancing the firms integration with cloud technologies (e.g., AWS, Docker, Kubernetes) to deliver scalable and flexible resources for research.
Actively improve monitoring and alerting frameworks to ensure system health visibility and enable swift action during performance issues.
Take part in an on-call rotation to provide after-hours support for critical global operations.

London, United Kingdom

On site

27-02-2025

About the Company

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