Working alongside Portfolio Managers and Quant Researchers you will engage in a strategic build-out of our quantamental systems and help discretionary investment managers leverage quantitative insights from our systems.

The teams have identified a collection of tools and workflows that they would like to have, and to deliver these you will be designing and building at all levels of the stack: *Systems to simplify backtesting alpha signals and insights into quantitative techniques
*APIs and tooling for Quantitative Risk modelling of portfolios
*Underlying infrastructure and pipelines for data gathering, cleaning and maintenance
*Data APIs and Python libraries that desk researchers can use, automation of pricing and risk/scenario models over quite diverse data (e.g. social-media data, semi-structured company financials, market data on fixed-income securities)
*Expanding existing equities tooling to support fixed income/credit portfolios
*Front-ends enabling discretionary managers to leverage quant insights.
*Support of the live quantitative trading system and portfolio management tools
Some of these elements will be entirely new, others exist in part already but need to be improved. In your role you will develop a detailed understanding of the work that the investment and risk-management teams carry out and will be judiciously applying technology and automation where it brings most benefit, giving the teams more time to focus on generating alpha for our clients.

Our Technology

The target technology stack is on Linux with the majority of the code written in Python, using the full scientific stack like pandas and scikit-learn.

We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI.

We are heavy users of Man’s own high performance proprietary database ArcticDB, alongside traditional RDBMS’.

Generative AI forms a growing part of our estate as it rapidly evolves and we find more use-cases in automation for our stakeholders.

All our code is deployed using Kubernetes and modern cluster computing frameworks.

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 https://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 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, wine tasting and monthly team lunches
*We have annual away days and off-sites for the whole team
*As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as a make-space, tech lending library and music room with guitars and a piano.
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.

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 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, optimisation algorithms.
*Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships
Advantageous *Experience of front office quantitative software development e.g. in a hedge fund or investment bank
*Experience in private market investment - for example real estate and private debt
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
*Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike
*Confident communicator; able to argue a point concisely and deal positively with conflicting views.
*Team mentoring experience; as a senior engineer you will be able to support and teach junior quants the best practices in software development and financial engineering.
Our Culture, Values and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities. At Man Group we believe that a diverse workforce is a critical factor in the success of our business and this is embedded in our culture and values. There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry. Man Group is a Signatory of the Women in Finance Charter and the Race at Work Charter.

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two ’Mankind’ days of paid leave per year as part of