Python developer in applied AI

Applied AI is the initiative to make Systematic, Man Group's quantitative investment business, an AI-native research firm: making general-purpose AI useful for quantitative research, and closing the gap between what frontier models can do and what the research process needs. We sit centrally within it as a combined research and technology team, and collaborate with Systematic's research teams across London, Boston, Sofia, Hong Kong and Shanghai to integrate AI into their research processes.

• Work collaboratively with researchers to build and own the AI-native research process, scoping problems and contributing ideas as well as code
• Design, build and maintain agents and agentic workflows for research
• Build knowledge bases and retrieval systems that give agents and Quant Research reliable access to the firm’s research, code and data
• Build evaluations and benchmarks for AI tools and workflows, so that their value is measurable and changes to models, prompts or tooling can be compared
• Follow developments in applied AI, prototype the ones that matter quickly, and harden what works into the platform

• Strong software engineering in Python; experience building production applications and services in a formal development environment
• Proficient on Linux and with the Python numerical stack
• Strong interpersonal skills; able to work closely with quantitative researchers, traders and senior business people alike
• Experience building agents, agentic workflows, and harnesses
• A solid grounding in machine learning and modern LLMs: their strengths, weaknesses, limitations and evolution
• Good judgement about what to build; able to turn an ambiguous need into a useful tool
• Proficient, ambitious use of agentic coding tools such as Claude Code or Codex
• Demonstrable passion for applied AI and technology e.g. personal projects, open-source involvement, writing or talks
• Будет плюсом: Hands-on experience of quantitative finance or of working alongside quants; Experience building knowledge bases and retrieval systems; Hands-on experience of reinforcement learning or LLM post-training, e.g. fine-tuning, RLHF, reward modelling; Awareness of frontier AI research and products, in particular long-horizon agents and recursive self-improvement; Experience with distributed compute frameworks like Spark, Ray or Kubernetes; A research background, academic or industrial, in any field

• 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.
• 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.