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Man Group

Senior Python Platform Engineer


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    Tech Stack / Изисквания

    As an AHL Quant Platform Engineer in Man Technology, you will be working at the heart of our trading systems, from signal capturing to trade monitoring, across all asset classes traded by AHL. Your challenges will be varied, including implementing new trading functions, optimising and maintaining existing trading systems, contributing to their architecture, and providing second level support. The role is a unique opportunity to play a pivotal part in building a state-of-the-art systematic trading platform, aligning with our complex trading needs and advancing our multi-year business goals. It offers the chance to collaborate with quantitative researchers, industry leading electronic execution team, and a highly talented operations team.

    The Team

    AHL Platform Engineers are part of our Technology team, comprising over 130 individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics – but what unifies us is a passion for technology and writing high-quality code. People often rotate teams to learn more about our systems, as well as find the position that best matches their interests.

    Our Technology

    Our systems are almost all running on Linux and most of our code is in Python, with extensive usage of open-source libraries such as pandas and numpy. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB, Oracle and our own open-source high-performance timeseries database ArcticDB.

    We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, infrastructure-as-code for server deployment, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. We are actively adopting Generative AI and boosting developer productivity via Copilot.

    Working Here

    Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community.

    We host and sponsor London’s PyData and Machine Learning Meetups

    We open-source some of our technology including parts of our Data Platform. See https://github.com/man-group

    We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @ManQuantTech

    We’re fortunate enough to have an office in the business district of Sofia (overlooking the St. Alexander Nevsky Cathedral) with easy access to transport and amenities, and continually strive to make our environment a great place in which to work. We offer flexible working, competitive compensation, a generous holiday allowance, health and other benefits. We are also committed to continuous learning and development via coaching, mentoring, conference attendance and sponsoring academic and professional qualifications.

    We are establishing a substantial presence in Sofia, where our operations, execution, and data teams will be collocated. This strategic setup is intended to develop a centre of excellence, fostering seamless collaboration and integrated workflows among teams. By attracting the best local talent, we aim to drive innovation and establish a leading edge in the industry.

    Technology and Business Skills

    We strive to hire only the brightest and best and most highly skilled and passionate technologists.


    Exceptional technology skills; recognised by your peers as an expert in your domain

    A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, behaviour driven development testing, refactoring and related approaches

    Expert knowledge in one or more programming languages, preferably Python

    Proficient on Linux platforms with knowledge of various scripting languages

    Strong knowledge of one or more relevant database technologies e.g. Oracle and MongoDB

    Proficient with a range of open-source frameworks and tools in scientific computing and web development

    Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns

    Experience with DevOps methodology and tooling in the software development


    Keen interested in financial markets and instruments

    Experience of quantitative or automated trading systems development e.g. in a hedge fund or investment bank

    Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

    A knowledge of modern practices for data engineering and stream processing

    An understanding of financial market data collection and processing

    Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships

    Personal Attributes

    Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

    Self-organised with the ability to effectively manage time across multiple projects to meet business demands and priorities

    Focused on delivering value to the business with relentless efforts to improve process

    Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and operations people alike

    Good at clear communication; skilled at presenting arguments and engaging constructively with diverse perspectives

    Intellectually robust with a keenly analytic approach to problem solving

    Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

    Demonstrable passion for technology e.g. personal projects, open-source involvement