About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals.
The Role
As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies.
The Team
Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty 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. Our developers are organised into small cross-functional teams. People often rotate teams in order to learn more about our system, 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 the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. 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 and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB our in-house developed DataFrame Database.
Man Group has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Our comprehensive benefits package includes pension, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave, private medical coverage, discounted gym membership options and pet insurance. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We organise regular social events, annual away days and off-sites for the whole team. You'll receive two annual 'Mankind' days of paid leave for community volunteering.
Essential
- Exceptional technology skills; recognised by your peers as an expert in your domain
- A keen interest and understanding of financial markets and instruments
- A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
- Strong knowledge of Python
- Proficient on Linux platforms with knowledge of various scripting languages
- Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
- Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms
Advantageous
- Experience of front office quantitative software development e.g. in a hedge fund or investment bank
- Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
- Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow
Personal Attributes
- Strong academic record and a degree with high mathematical and 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
- Demonstrable passion for technology e.g. personal projects, open-source involvement
- 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
- 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
