The Role

As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools

 

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.

 

Essential

• 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, refactoring and related approaches

• Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

• Proficient on Linux platforms with knowledge of various scripting languages

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

• Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

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

 

Advantageous

• An excellent understanding of financial markets and instruments

• Knowledge and experience of fixed income products or volatility trading.

• 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

• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.

 

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

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

• 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 senior business people alike

• Confident communicator; able to argue a point concisely and deal positively with conflicting views.

• Intellectually robust with a keenly analytic approach to problem solving

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

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