Specialist, Finance Automations

About the role

Invesco’s Global Business Services Finance team in Hyderabad is seeking a Specialist in Finance Automations. The role partners with FP&A teams to drive automation, standardisation and AI‑enabled solutions across finance operations, supporting enterprise‑wide finance functions.

Key responsibilities

• Partner with FP&A teams to understand business drivers influencing expenses, revenues and AUM.
• Ensure timely completion of daily and monthly deliverables aligned with client expectations.
• Perform detailed variance analysis at the General Ledger level and provide actionable insights.
• Lead training sessions for new hires and support knowledge transfer for client‑driven projects.
• Drive transformation initiatives focused on automation, standardisation and simplification.
• Maintain and update process documentation, SOPs and training materials.
• Independently manage client queries and ad‑hoc requests.
• Identify process gaps, communicate potential delays and proactively align stakeholders.
• Design and implement AI/ML‑driven solutions for forecasting, anomaly detection and variance analysis.
• Leverage Generative AI tools (e.g., Copilot, LLMs) to automate reporting and commentary generation.
• Integrate AI capabilities within Power BI, Alteryx and SQL pipelines.
• Collaborate with technology and data teams to enable data readiness for AI use cases.
• Evaluate and recommend new AI tools and automation opportunities for FP&A processes.

Required profile

• Strong knowledge of GAAP and internal control frameworks.
• Advanced problem‑solving and analytical skills with a structured approach.
• Ability to manage deliverables and meet strict deadlines.
• Excellent written and verbal communication with strong stakeholder management.
• Highly organized, adaptable and capable of multitasking in dynamic environments.
• Working knowledge of machine‑learning concepts such as regression, classification and clustering.

Required skills

• SQL
• Alteryx
• Tableau
• Power Apps
• Power BI
• Oracle or similar financial systems
• Generative AI tools (e.g., Copilot, LLMs)
• Machine‑learning implementation for finance use cases