The Team
Join our Data Platform Engineering team at the heart of a quantitative investment firm, powering the data infrastructure which drives our systematic trading strategies and cutting-edge discretionary research.
As a Python Engineer, you’ll help architect our multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, Airflow, Spark, and more. This is an opportunity to tackle complex distributed systems challenges at an exceptional scale across thousands of unique datasets.
AI agents are fast becoming primary consumers of our data, which makes improving its discoverability and usability for both people and agents a source of green-field work for the team.
Role Responsibilities
Build and ship features on a high-throughput platform processing billions of market data points and thousands of files daily
Tackle hard distributed systems problems at a scale few Engineers encounter
Work closely with quant researchers and traders to turn complex requirements into elegant platform solutions
Drive platform reliability through rigorous incident response, root-cause analysis, and systemic fixes
Raise the engineering bar through thoughtful code review and mentoring of junior team members
Key Competencies
Essential
4+ years of professional experience in software engineering with Python or Java as your primary language
Proficient on Linux platforms and strong understanding of Git
Deep knowledge of one or more relevant database technologies such as Iceberg, PostgreSQL, or MongoDB
Embracing agentic engineering: willingness and ability to work effectively with AI-assisted development tools as part of daily workflow
Strong problem-solving skills and attention to detail
Strong communication and collaboration abilities
Ability to work independently and gather requirements from stakeholders
Advantageous
Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics
Familiarity with distributed systems and orchestration
Experience with performance optimization and large-scale data processing
Contributions to open-source projects
Experience with market data
Expertise in streaming or real-time data processing
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.
