Senior Quant Developer

The role

This is a senior engineering role that sits at the intersection of Man Group’s Discretionary (public markets) and Solutions Technology teams. You will serve as a bridge between the two business units.

Our technology stack

• Python (primarily), TypeScript/React
• Data Pipelines, NumPy, Kafka
• Electronic Trading, FIX, REST
• Front-end React, streaming dashboards, Tableau
• Infrastructure Subsystems, Airflow
• A LogicCloud/Graph, LLM experts, vector search, RAD

Responsibilities

• Development & Delivery (70%):
  • Creating, Extending, and Maintaining Python Data Pipelines with Pandas, NumPy, and Built-in Libraries
  • Selecting and prototyping analytical and risk research tools and data
  • Contribution to the creation of research databases using vector search and AI for investment teams
  • Designing data quality checks and processes
  • Building and maintaining FastAPIs and Flask backends, as well as REST/GraphQL frontends, using our shared component libraries
  • Providing Services for Kibana: Managing ELK/Graylogs for Scheduled Data Processing
  • Collaboration with engineers based in London and Sofia on cross-team initiatives
• Stakeholder engagement (20%):
  • Serve as the primary technical point of contact for discretionary and solutions stakeholders based in New York
  • Other engineering teams: Translating business requirements into technical solutions and managing expectations
  • Collaboration with portfolio managers, analysts, and quants—understanding their workflows is just as important as writing code
• Production Operations (10%):
  • Responsibility for ensuring the operational stability of systems in our portfolio—investigating data quality issues, triaging support requests, and managing incident response
  • Maintenance of documentation and operational processes

Key competencies

• Essential:
  • 5+ years of professional software development experience with a strong background in trading
  • Strong Python skills: Well-tested, modular production code. Proficient with data classes, type hints, and OOP design patterns
  • Previous DevOps experience—particularly in portfolio management, risk management, or investment operations
  • Productivity/Profitability: Creating efficient data pipelines and transformations at scale
  • AILUM (Programming Skills): AILUM develops tools to integrate LIT-based teams that serve as consultants for AI-driven development, and we build AI/ML agents for our investment teams
  • Self-learning & Curiosity: AILUM operates on the principles of self-learning. With new technologies emerging at such a rapid pace, we are constantly looking for ways to improve our skills
  • Securely in a Linux environment with Git, virtual environments, and