Operations Automation Engineer

Role Overview We are seeking a talented and motivated Automation Engineer to join the Operations Group. This is a high-impact, hands-on role focused on identifying, designing, and delivering automation solutions across the full breadth of BAM's operational functions, from trade lifecycle management and back-office reconciliation . You will work closely with Operations, Technology, and business stakeholders to eliminate manual processes, reduce operational risk, and create scalable, auditable workflows using modern low-code/no-code and scripting tools, principally integrated agentic workflow tools (e.g n8n) , augmented by Python and REST API integrations. Key Responsibilities Workflow Design & Automation Delivery Analyse, document, and re-engineer manual operational processes across all products and Ops functions Design and build end-to-end automated agentic workflows integrating with BAM's core systems Develop Python scripts to extend automation capabilities beyond native tool functionality Integration & API Development Build and maintain REST API integrations between automation platforms and BAM's internal and third-party systems Integrate with Microsoft 365 ecosystem (Outlook, SharePoint, Slack) for notification and approval workflows Governance, Quality & Documentation Maintain a centralized automation backlog, prioritized by in line with a set of agreed factors Document all workflows with clear process maps, data flow diagrams, and runbooks Implement monitoring, alerting, and error-handling within all production automations Ensure all automations comply with BAM's data governance, security, and audit requirements Stakeholder Engagement Partner with Operations team leads across all desks to identify and scope automation opportunities Present automation roadmaps and ROI metrics to Operations leadership Provide training and support to Operations staff on interacting with automated workflows Act as internal subject matter expert on automation tooling Required Skills & Experience Technical Python for data transforms, and custom workflow code (e.g., n8n functions/nodes). Bonus: JavaScript Workflow orchestration: Production automations in workflow tools such as n8n (preferred) or similar; branching, retries/backoff, and exception handling. APIs (REST/GraphQL): Design/consume APIs Data (SQL): Strong SQL; relational DBs (Postgres/SQL Server). Bonus: Snowflake/lakehouse exposure. Embed LLMs/agents for classification/extraction/routing/summarization; comfortable using AI coding assistants. Microsoft 365 + collaboration: Microsoft Graph integrations (Outlook, SharePoint/OneDrive, Teams); alerting/approvals via email/Slack. SDLC: Git PRs/code review, CI/CD, dev→test→prod promotion, basic testing/monitoring. Domain Knowledge 4-7 years of experience Prior experience in financial services operations, ideally at a hedge fund, prime broker, or investment bank Understanding of trade lifecycle, settlement, reconciliation, and back-office workflows Product knowledge across the various asset classes (Equities, Fixed Income, Soft Skills Strong analytical mindset, able to decompose complex manual processes into automatable components Excellent stakeholder communication skills; comfortable presenting to both technical and non-technical audiences Self-starter with a high degree of ownership and a bias for delivery Meticulous attention to detail and a strong sense of operational risk awareness Desirable (Bonus) Skills Knowledge of OCR and document parsing for automating email/PDF-based processes