Quant Developer

3 weeks ago

London, United Kingdom Man Group Full time

Quant Developer - Solutions Front-Office Technology

The Team

Solutions, a branch of Man Group, specializes in the development and management of portfolios for sophisticated clients, primarily institutional investors such as pension funds and insurance companies. The business is known for its alternative investment strategies, often leveraging high conviction, investment grade managers, and a variety of hedge fund strategies to create unique solutions with low levels of correlation to traditional equities and bonds.

Emphasizing collaboration, transparency, and technological innovation, Solutions works closely with its global clients and utilizes the diverse expertise within Man Group to meet clients' specific needs and objectives.

The Role

The Solutions Front-Office Technology team is responsible for developing and maintaining a suite of software tools that enable Solutions fund managers, quants and investment analysts to:

- Monitor performance, exposure and risk of internal and external funds
- Perform portfolio construction and backtesting
- Automate PMs investment workflows and data visualisation

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 libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.

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, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.

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

We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.
- We organise regular social events, everything from photography through climbing, karting and wine tasting
- As well as PCs and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.

We offer competitive compensation, a generous holiday allowance, along with 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.

Technology and Business Skills

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

Essential
- Hands-on with a strong technical background in software development, data analysis, and financial markets including experience in the Python Quant stack (pandas, numpy, scipy etc.).
- A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
- Proficient on Linux platforms with knowledge of various scripting languages
- Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB
- 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
- An understanding of hedge fund and factor-based investing strategies
- Practical portfolio construction skills, familiar with a variety of methodologies
- QIS experience from an investment bank
- Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

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 posi

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