Algorithmic Trading Product Manager (Python, SaaS, Azure)

• Define and own the product roadmap, aligning business strategy, customer needs, and market opportunities.
• Own the end-to-end delivery of product features and improvements
• Work closely with engineers to break down requirements into practical, implementable solutions
• Write clear product specifications, user stories, and acceptance criteria
• Provide day-to-day clarity and direction within the team, quickly resolving ambiguity and unblocking delivery
• Work closely with the data science capability and quantitative users to: shape and improve the Python-based algorithm development experience, support effective workflows for backtesting, simulation, and live trading
• Act as a hands-on bridge between technical and non-technical perspectives, ensuring shared understanding without relying on heavy process or documentation
• Engage directly with traders and quants to understand user workflows and priorities
• Collaborate on cloud architecture and SaaS delivery (Azure-based)
• Ensure strong performance, scalability, and reliability across the platform
• Provide input into API design, data models, and system architecture
• Build a culture of excellence and collaboration as part of a team
• Actively participate in the Scrum team to deliver the product in an agile way by providing user acceptance and compliance with acceptance criteria set for the feature.

Requirements

• Strong Python proficiency (comfortable reading and writing production-level code)
• Experience delivering complex, technical or data-driven software products
• Experience working closely with engineers on SaaS products
• Experience in algorithmic trading, financial markets, or energy trading
• Ability to translate complex technical concepts into clear, actionable product decisions
• Strong communication and stakeholder management skills
• Experience working in Agile development environments
• Great attention to detail with ability to work independently and also as part of a team.
• Knowledge of power markets, particularly short-term or intraday markets desirable
• Familiarity with back testing frameworks, time-series data systems, real-time or low-latency systems
• Understanding of software architecture and distributed system design
• Knowledge of data pipelines, time-series data, and performance considerations
• Awareness of trading system requirements such as latency, resilience, and risk controls
• Strong understanding of cloud platforms (Azure, AWS, or GCP)

ATS Optimization Keywords
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Hard Skills

• Python
• algorithmic trading
• data-driven software products
• SaaS products
• back testing frameworks
• time-series data systems
• real-time systems
• low-latency systems
• software architecture
• distributed system design

Soft Skills

• communication
• stakeholder management
• attention to detail
• independent work
• team collaboration
• translating technical concepts
• problem-solving
• clarity and direction
• agile methodology
• collaboration