Finance Data Scientist Expats

• Pursue a robust value centric methodology to identify valuable opportunities enabled by AI/ML Predictive/Prescriptive Analytics Generative AI Chatbots and other technologies
  
• Leverage best practices to recommend and advocate transformation of finance functions with AI
  
• Conduct exploratory data analysis leverage AI algorithms to derive value for finance functions such as for forecasting anomaly detection etc.
  
• Ideate AI solutions develop scope design and facilitate implementation of digital solutions and coordinate change management
  
• Continuous upkeep and training of AI models to ensure integrity and traceability
  

• Design develop and implement AIpowered solutions to automate manual tasks optimize processes and enhance datadriven decisionmaking in Financial Accounting Treasury Performance management and Investor Relations.
  
• Work closely with business stakeholders to understand their needs translate them into technical requirements and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation
  
• Develop and maintain machine learning models for tasks such as financial forecasting fraud detection anomaly detection risk assessment and investor sentiment analysis.
  
• Clean transform and analyze large datasets from various sources to ensure data quality and prepare it for modeling.
  
• Stay uptodate on the latest advancements in AI and machine learning identify potential applications for the finance function and propose relevant pilot projects.
  
• Communicate technical concepts and findings effectively to both technical and nontechnical audiences.
  
• Participate in crossfunctional initiatives to integrate AI and data science into broader business transformation efforts.
  
• Organize and facilitate workshops with different users and consultants to document processes and drive transformation
  
• Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs collaborating with business and technology groups.
  
• Maintain support and optimize digital solutions.
  

Requirements

• As the successful candidate you will hold a Bachelor s degree in Engineering Computer Science Mathematics Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA CFA CPA) is preferred but not required.
  
• You will have six to eight years experience in Data Science Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy pandas scikitlearn TensorFlow or PyTorch is required. UI programming such as with React is required.
  
• Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.
  
• You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits evaluation of technical and execution options critical success factors and project risks.
  
• You must have project experience implementing AI solutions and will be able to analyze the business requirements evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred.