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This hybrid role leverages advanced data science and AI expertise to transform financial and business data into actionable insights, drive predictive modeling, and automate processes for improved efficiency and strategic decision-making. The analyst will collaborate across finance, sales, operations, and data engineering teams to deliver scalable solutions that optimize performance, minimize manual tasks, and support business growth.
Job Responsibility:
Develop and deploy predictive models (e.g., credit risk, fraud detection, revenue forecasting) using machine learning algorithms and time-series techniques (ARIMA, Prophet, XGBoost, Random Forest)
Design and implement generative AI solutions (LLMs, GANs) for workflow automation, information retrieval, and decision support
Build and maintain scalable data pipelines and infrastructure using tools like Airflow, KNIME, Snowflake, Hadoop, and Spark
Automate reporting processes and improve data pipelines for accuracy and efficiency
Perform exploratory data analysis and create visualizations (Power BI, Tableau, Plotly, Matplotlib) to communicate insights to stakeholders
Manage master data across financial systems to ensure consistency and integrity
Collaborate with cross-functional teams to translate business needs into technical requirements and deliver impactful solutions
Ensure compliance with data governance, financial regulations, and quality standards
Continuously experiment with new AI tools and techniques to drive innovation and process improvement
Requirements:
1-2 years of experience in data science, financial analytics, or business intelligence
Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch)
Experience with data visualization tools and big data technologies
Strong business acumen and ability to communicate technical concepts to non-technical stakeholders
Exposure to ERP systems (SAP S4 preferred), master data management, and financial reporting
Experience with process improvement, automation, and project-based work
Excellent stakeholder management and communication skills
Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field
Chartered Financial Analyst (CFA), Master of Business Administration (MBA), or Certified Public Accountant (CPA) is an advantage
Nice to have:
Chartered Financial Analyst (CFA), Master of Business Administration (MBA), or Certified Public Accountant (CPA) is an advantage
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