Strategic Project Lead, Finance Expertise

The selected professional will take end-to-end ownership of strategic projects involving financial domain expertise, human data operations, and advanced AI workflows.

What You Will Do

Translate complex client requirements into clear project objectives, technical specifications, and actionable plans. Define milestones, operational priorities, and delivery expectations across assigned initiatives.

Why It Might Be a Fit

Strong professional background in Finance, Financial Engineering, Economics, or a closely related discipline. At least 2 years of experience leading complex projects, operational workflows, or finance-related initiatives.

Requirements

• Strong professional background in Finance, Financial Engineering, Economics, or a closely related discipline.
• At least 2 years of experience leading complex projects, operational workflows, or finance-related initiatives.
• Demonstrated ability to take ownership of projects from initial planning through successful delivery.
• Experience translating complex stakeholder requirements into clear operational plans and specifications.
• Strong understanding of finance-related analytical processes and professional workflows.
• Experience coordinating multidisciplinary teams and managing competing project priorities.
• Proven ability to lead projects involving technical, analytical, or operational requirements.
• Excellent written and verbal communication skills.
• Strong stakeholder management experience, particularly when collaborating with senior finance professionals.
• Ability to establish clear milestones, manage deliverables, and maintain consistent execution standards.
• Strong analytical reasoning, problem-solving capabilities, and attention to detail.
• Ability to operate effectively in fast-moving environments with evolving requirements.
• Demonstrated ownership, initiative, and sound independent judgement.
• Strong organisational skills and the ability to coordinate multiple activities simultaneously.
• Experience managing finance-focused or data-intensive technical projects is advantageous.
• Familiarity with financial modelling, investment analysis, financial markets, or accounting workflows is beneficial.
• Experience working with AI/ML organisations, AI laboratories, or advanced technology companies is preferred.
• Exposure to AI training, data annotation, or model evaluation projects is advantageous.
• Understanding of data pipeline development, data validation, and quality assurance processes is beneficial.
• Familiarity with human-in-the-loop operations and specialist-driven data workflows is preferred.
• Experience collaborating with technical teams on complex data or research projects is valuable.
• A proactive, execution-focused approach to operational challenges and project delivery.
• Strong professional judgement when balancing quality, timelines, and stakeholder requirements.