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 and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $253.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here.
* As at 30 June 2026
We're setting up a new engineering team in Shanghai, working hand-in-hand with Portfolio Managers to develop and deploy new systematic trading strategies. As a Lead Software Engineer in the Front-Office Engineering organization, your code will have a direct line of sight to live markets.
Your work will span the full lifecycle of strategy development: onboarding new datasets, implementing trading signals, building portfolio optimization tools, developing data visualization frameworks, and enhancing our research platform. You'll solve performance-critical problems using efficient numerical algorithms and cluster-computing solutions.
This is a chance to get in early and do engineering work that visibly moves the needle.
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, statsmodels, and scikit-learn to name a few of the libraries we use extensively. For storage, we rely heavily on MongoDB and MS SQL.
We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.
Key Competencies
Essential
- 5+ years of professional experience in software engineering, preferably with a focus on quantitative applications
- Experience as a technical lead or people manager, encompassing both team development (hiring, building teams, and mentoring junior engineers) and project management (driving technical delivery)
- Expert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn
- Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment
- Proficient on Linux platforms and strong understanding of Git
- Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB
Advantageous
- Experience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank
- Experience building web applications using modern frameworks like React
- Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis
- Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
- Strong understanding of financial markets and instruments
- Experience working with financial market data
- Relevant mathematical knowledge e.g., statistics, time-series analysis
Working Here
Man Group established its Shanghai presence in 2012 and was among the first global alternative managers to secure a Private Fund Manager license in China (2017), giving you a front-row seat at one of the industry's most significant market-access stories.
Our Shanghai team is made up of quant researchers, developers and portfolio managers. We operates with genuine start-up energy inside a major global firm: you will build greenfield technology and research infrastructure for Chinese markets, working directly alongside colleagues in London, Boston and Sofia. The work spans AI/ML-driven alpha research, high-performance Python systems, alternative data pipelines and trading signal implementation — all backed by Man's global compute platform and open-source tools like ArcticDB.
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact [email protected].
Skills Required
- 5+ years of professional experience in software engineering, preferably with a focus on quantitative applications
- Expert knowledge of Python and Pandas
- Proficiency with scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn
- Experience developing mission-critical production systems with testing, monitoring, and deployment best practices
- Proficient on Linux platforms and strong understanding of Git
- Working knowledge of one or more databases such as MS SQL, Postgres, or MongoDB
- Demonstrated experience working with large structured and unstructured data sets
- Experience in quantitative software development within a front-office setting (hedge fund, prop trading, investment bank)
- Experience mentoring junior team members and managing projects
- Experience building web applications using modern frameworks like React
- Proficiency with distributed computing technologies such as Spark, Dask, Kubernetes, Redis
- Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
- Strong understanding of financial markets and instruments
- Experience working with financial market data
- Relevant mathematical knowledge e.g., statistics, time-series analysis
- Degree with high mathematical and computing content (Computer Science, Mathematics, Engineering, Physics)
What We Do
Man Group is a global active investment management firm, which runs $127 billion* of client capital in liquid and private markets, managed by investment specialists based around the world. Headquartered in London, the firm has 15 international offices and operates across multiple jurisdictions. Our business has five specialist investment engines, which represent the range of our capabilities: Man AHL, Man Numeric, Man GLG, Man FRM and Man GPM. These engines house numerous investment teams, working collaboratively within the framework of Man Group, with a high degree of investment autonomy. Each team benefits from the strength and resources of the firm’s single operating platform, enabling their primary focus to be seeking to generate alpha for clients. The teams invest across a diverse range of strategies and asset classes with highly specialised approaches, with long only and alternative strategies run on a discretionary and quantitative basis in single and multi-manager formats. Our clients are at the heart of everything we do and we engage in close dialogue with our investors as strategic partners, to understand their particular needs and constraints. Man Group’s investment teams are empowered and supported by our institutional infrastructure and technology, which aims to facilitate the efficient exposure to markets and effective collaboration across the organisation.
