Asst Dir-Data Scientist (Accounting)

This role is responsible for developing advanced analytical models and data-driven solutions to support financial insights and strategic decision-making.

• Develop and implement statistical, econometric, and machine learning models to analyze financial and business data
• Translate complex financial and accounting concepts into quantitative features and predictive modeling frameworks
• Evaluate and select appropriate modeling approaches based on business objectives, data characteristics, and interpretability requirements
• Collaborate with cross-functional teams to deliver insights and solutions that drive business outcomes
• Communicate analytical findings clearly to technical and non-technical stakeholders, including senior leadership
• Contribute to the development and maintenance of scalable data science workflows and production systems
• Stay current with emerging trends in analytics, artificial intelligence, and financial modeling to continually enhance capabilities
• Ensure adherence to best practices in model governance, validation, and ethical use of data and AI technologies

About the Team The Analytics & Modeling team focuses on delivering high-impact analytical solutions that support financial analysis and risk assessment across the organization. The team combines deep domain expertise with advanced data science techniques to generate insights, improve decision-making, and drive innovation. By joining this team, you will work on complex, data-driven challenges in a collaborative environment that values continuous learning and responsible adoption of advanced technologies.

Do you have experience in Statistics?, * Strong expertise in financial statements and accounting concepts, including the ability to translate accounting signals into model features, risk indicators, and analytical insights

• Demonstrated expertise in econometrics, statistics, and quantitative modeling, with the ability to determine when deep learning, traditional approaches, or hybrid methodologies are appropriate based on business context and data availability
• Excellent written and verbal communication skills in English, with the ability to distill complex modeling concepts into clear, audience-appropriate messages for senior leaders and non-technical stakeholders
• Strong programming skills in Python or R and experience leveraging productivity and analytical tools
• Experience working with large-scale datasets and applying advanced analytical techniques to solve business problems
• Exposure to cloud platforms such as AWS, GCP, or Azure and familiarity with scalable data environments preferred
• Experience with production machine learning systems and model deployment lifecycle preferred
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization (1-60c7a0), * Ph.D. in Economics, Finance, Accounting, or a related quantitative field
• Alternatively, a Master’s degree in one of these fields with 2-3 years of experience in the financial industry