Quantitative Developer - Systematic at Man Group

, , China -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pandas, NumPy, SciPy, Statsmodels, Scikit-learn, Java, MongoDB, MS SQL, Linux, Git, Distributed Computing, Data Engineering, Financial Markets, Quantitative Development, Software Engineering

Industry

Investment Management

Description

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 $228.7 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 The Role As a Quantitative Developer in the Front-office Engineering organization at Man Systematic, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions. 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. We implement the systems that require the highest data throughput in Java. 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, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries. Essential 2-3 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, statsmodels 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 Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics 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, portfolio managers, traders and senior business people alike Confident communicator: able to argue a point concisely and deal positively with conflicting views 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 .

Responsibilities

Collaborate with Quantitative Researchers and Portfolio Managers to implement trading signals and develop portfolio optimization tools. Enhance the research platform and performance tune code using numerical algorithms and cluster-computing solutions.