Senior Quant Developer

The role

This is a senior engineering role at the intersection of Man Group’s Discretionary (Public Markets) and Solutions Technology teams. You will serve as a high-performing Python developer and act as the lead Python programmer for quant developers, data scientists, and quant analysts in both business units.

Our technology stack

* Python (primary), TypeScript/Next * Data pipelines, NumPy, Kafka * Backends/Applications – FastAPI, gRPC * Infrastructure/Build tools, Linux * Architecture/Cloud operations, LVM equities, vector search. RAG – we actively build and deliver AI tools for our investment teams

Relevant tasks

* Development and delivery (70%)

• Development, expansion, and maintenance of Python data pipelines using Pandas, NumPy, and internal libraries
• Implementation of data strategies and solutions: Research on databases with vector search, Al
• Contributing to AI-driven tools for investment teams—research, design, and prototyping
• Development and maintenance of FastAPI and Flask backends, as well as React/TypeScript frontends, using our shared component libraries
• Service Delivery to Kibrometers: Management of Alibaba DAGs for Scheduled Workflows
• 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
• Gathering stakeholder requirements: Translating business requirements into technical analyses and managing expectations
• Collaborating with platform 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 within our portfolio—investigating data quality issues, triaging support requests, and managing incident response
• Maintenance of Documentation and Operational Processes

Key competencies

* 5+ years of professional experience in software engineering with a strong track record in trading back-end systems * Strong Python skills: well-tested, modified production code. Proficient with data classes, type annotations, OOP, and design patterns * Experience with DevOps and cloud services—particularly in portfolio management, risk management, or investment operations * Product/platform knowledge: Building efficient data pipelines and transformations at scale * AI/ML expertise: Experience building and using LLM-based models, as we advise on a range of supported developments and build AI/ML agents for our investment teams * Problem-solving expertise: Excellent problem-solving skills with strong attention to detail; able to work with data to identify the root cause of problems * Comfortable in a Linux environment with CI/CD, virtual environments, and CLI coding * Strong communication: You can clearly explain technical decisions to non-technical stakeholders and effectively interact with a diverse range of people; able to collaborate on problem-solving; no jargon * Self-reliant: You manage your priorities, big or small, take ownership to see things through to completion, and drive the