Quantitative Developer - Systematic
Man Group · China · 3mo ago
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
The Role
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 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
- Minimum of 2 years of professional experience in software engineering, preferably with a focus on quantitative applications
- Proficiency in Python and experience with scientific libraries including Pandas, NumPy, SciPy, stats models and scikit-learn
- Experience working on production systems, with an understanding of best practices for testing, monitoring, and deployment
- Comfortable working on Linux platforms and using 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 working with large data sets, both structured and unstructured
- 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 TalentAcquisition@man.com.